image processing research papers bibliography

8/9/2019 image processing research papers bibliography

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Computer Vision and Image Understanding 78, 222–302 (2000)

doi:10.1006/cviu.2000.0835, available online at http://www.idealibrary.com on

SURVEY

Image Analysis and Computer Vision: 19991

Azriel Rosenfeld

Computer Vision Laboratory, Center for Automation Research, University of Maryland,

College Park, Maryland 20742-3275

Received January 10, 2000

This paper presents a bibliographyof nearly 1700 references related to computer vi-

sion and image analysis, arranged by subject matter. The topics covered include com-

putational techniques; feature detection and segmentation; image and scene analysis;

two-dimensional shape; pattern; color and texture; matching and stereo; 2 12

-dimen-

sional recovery and analysis; three-dimensional shape; and motion. A few references

are also given on related topics, including geometry and graphics, compression and

processing, sensors and optics, visual perception, neural networks, artificial intelli-

gence and pattern recognition, as well as on applications. c 2000 Academic Press

A. INTRODUCTION

This is the thirtieth and last in a series of bibliographies on computer processing of

pictorial information, covering primarily items published during 1999. (The online avail-

ability of most of the literature in the field makes it increasingly unnecessary to publish

such bibliographies.) The coverage is restricted almost entirely to a selected set of U.S.

or international journals and conference proceedings. No attempt is made to summarize

or evaluate the items cited; the purpose is simply to provide a convenient compendium of

references, grouped by subject.

The references are arranged under the following headings:

(A) General references

(B) Related topics

(C) Applications

(D) Computational techniques

1 The support of the Office of Naval Research under Grant N00014-95-1-0521 is gratefully acknowledged, as

is the help of Janice Perrone in preparing this bibliography.

222

1077-3142/30 $35.00Copyright c 2000 by Academic PressAll rights of reproduction in any form reserved.


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IMAGE ANALYSIS AND COMPUTER VISION: 1999 223

(E) Feature detection and segmentation; image and scene analysis

(F) Two-dimensional shape and pattern

(G) Color and texture

(H) Matching and stereo(I) Range and recovery

(J) Three-dimensional shape

(K) Motion

Letter/number codes in the text (A.1, etc.) correspond to sections of the bibliography.

Papers, books, etc., relating primarily to specific topics will be cited in later sections. In this

section we cite references that relate to more than one topic:

(A.1) Meetings and meeting proceedings: [1–60](A.2) Books [61–67]; journal special issues [68–75]; a few papers on general topics

[76–81]; and the previous bibliography in this series [82].

B. RELATED TOPICS

The following related areas are not covered systematically, but we give a few references

on them:

(B.1) Geometry and graphics: [83–113]

(B.2) Compression and processing: [114–144]

(B.3) Sensors and optics: [145–159]

(B.4) Visual perception: [160–170]

(B.5) Neural networks: [171–176]

(B.6) Artificial intelligence and pattern recognition: [177–199].

C. APPLICATIONS

(C.1) Documents: [200–213]2

(C.2) Biomedical and biological: [214–227]2

(C.3) Human: [228–383]

(C.4) Industrial; robotics: [384–406]2

(C.5) Mobile robotics; traffic: [407–460](C.6) Target recognition: [461–479]

(C.7) Remote sensing: [480–522].

D. COMPUTATIONAL TECHNIQUES

(D.1) Architectures and environments: [523–530]

(D.2) Databases: [531–608](D.3) Operations: [609–619]

(D.4) Processes: [620–646]

(D.5) Geometric operations; calibration: [647–682].

2 Only selected references on these topics are given.


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224 AZRIEL ROSENFELD

E. FEATURE DETECTION AND SEGMENTATION; IMAGE

AND SCENE ANALYSIS

(E.1) Features: [683–718]

(E.2) Segmentation: [719–836] (including thresholding, contour extraction, grouping,

and segmentation of 3D data; on texture see Section G.4, and on range data see Section I.1)

(E.3) Image and scene analysis (including attention, control, etc.): [837–852].

F. 2D SHAPE AND PATTERN

(F.1) Representation, decomposition, etc.: [853–870]

(F.2) Properties; invariants: [871–902](F.3) Contours and curves: [903–938]

(F.4) Skeletons and thinning; distance: [939–968]

(F.5) Pattern (path planning, etc.): [969–986]; formal languages: [987–998].

G. LIGHTNESS AND COLOR; TEXTURE

(G.1) Lightness, polarization, and color: [999–1041]

(G.2) Texture: modeling, synthesis: [1042–1079]

(G.3) Texture: description: [1080–1111]

(G.4) Texture: segmentation: [1112–1133].

H. MATCHING; STEREO

(H.1) Image matching: [1134–1219]

(H.2) Hough transforms: [1220–1238]; structure matching: [1239–1245]; recognition:[1246–1267]

(H.3) Stereo, etc.: [1268–1334].

I. RANGE; RECOVERY

(I.1) Range sensing and range data analysis: [1335–1356]

(I.2) Recovery: [1357–1392].

J. 3D SHAPE

(J.1) Models: [1393–1422]

(J.2) Recognition: [1423–1458]

(J.3) Other topics (pose, geometry, etc.): [1459–1508].

K. MOTION

(K.1) Flow; egomotion: [1509–1551]

(K.2) Structure from motion: [1552–1600]

(K.3) Dynamic scenes: [1601–1663]

(K.4) Tracking, etc.: [1664–1693].


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REFERENCES

For brevity, the following repeatedly cited sources are cited in abbreviated forms:

A. Conference Proceedings

Abbreviation Conference

CVPR Conference on Computer Vision and Pattern Recognition [28]

ICCV International Conference on Computer Vision [48]

ICIP International Conference on Image Processing [126]

SIGGRAPH SIGGRAPH ’98 Conference [94]

SPIE Society of Photo-Optical Instrumentation Engineers

B. Journals

Abbreviation Journal

AI Artificial Intelligence

AIM AI Magazine

ApI Applied Intelligence

CACM Communications of the ACM

CG&A IEEE Computer Graphics and Applications

CGT&A Computational Geometry Theory and ApplicationsCVIU Computer Vision and Image Understanding

DCG Discrete and Computational Geometry

GMIP Graphical Models and Image Processing

IC Information and Computation

IJCV International Journal of Computer Vision

IJIS International Journal of Intelligent Systems

IJIST International Journal of Imaging Systems and Technology

IJPRAI International Journal of Pattern Recognition and Artificial Intelligence

IPL Information Processing Letters

IS Information Sciences

IVC Image and Vision Computing

JACM Journal of the ACM

JMIV Journal of Mathematical Imaging and Vision

JPDC Journal of Parallel and Distributed Computing

JVCIR Journal of Visual Communication and Image Representation

MVA Machine Vision and Applications

NC Neural Computation

P-IEEE Proceedings of the IEEE

PR Pattern RecognitionPRIA Pattern Recognition and Image Analysis

PRL Pattern Recognition Letters

RAM IEEE Robotics and Automation Magazine

RTI Real-Time Imaging

SPM IEEE Signal Processing Magazine

SV Spatial Vision

T-IP IEEE Transactions on Image Processing

T-IS IEICE Transactions on Information and Systems

T-IT IEEE Transactions on Information Theory

T-NN IEEE Transactions on Neural NetworksTOG ACM Transactions on Graphics

T-PAMI IEEE Transactions on Pattern Analysis and Machine Intelligence

T-PDS IEEE Transactions on Parallel and Distributed Systems

T-RA IEEE Transactions on Robotics and Automation

T-SMC IEEE Transactions on Systems, Man, and Cybernetics

T-VCG IEEE Transactions on Visualization and Computer Graphics

VC The Visual Computer


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A. GENERAL REFERENCES

A.1. Meetings, etc.

1. C. Arcelli, L. P. Cordella, and G. Sanniti di Baja, Guest Eds., Special Issue on Visual Form (Third Interna-

tional Workshop, Capri, Italy, May 28–30, 1997), IVC 7(5–6), April 1999, 335–460.

2. A. Clark, Guest Ed., Special Issue: BMVC ’97 (Eighth British Machine Vision Conference, Essex, England,

September 8–11, 1997), IVC 17(8), June 1999, 543–642.

3. K. Morita, A. Nakamura, M. Nivat, and P. S. P. Wang, Guest Eds., Special Issue: Parallel Image Analysis

(Fifth International Workshop, Hiroshima, Japan, September 29–30, 1997), IJPRAI 13(4), June 1999,

429–588.

4. L. O’Gorman, Guest Ed., AutoID Technology: From Barcodes to Biometrics (First IEEE Workshop on

Automatic Identification, Stony Brook, New York, November 1997), RAM 6(1), March 1999, 4–6, 20–

65.

5. M. Cheriet and Y. H. Yang, Guest Eds., Special Issue: Vision Interface ’98 (Vancouver, British Columbia,

Canada, June 1998), IJPRAI 13(5), August 1999, 589–802.

6. Special Issue: Fifth Open German–Russian Workshop [on] Pattern Recognition and Image Understanding

(Herrsching, Germany, September 21–25, 1998), PRIA 9(4), October–December 1999, 539–791.

7. Y. I. Zhuravlev and S. T. Vaskov, Guest Eds., Special Issue: Proceedings of PRIA-4-98 (Fourth Russian

Federation Conference on Pattern Recognition and Image Analysis, Novosibirsk, Russia, October 11–18,

1998), PRIA 9(1–2), January–June 1999, 1–399.

8. R. J. Mericsko, Ed., Advances in Computer-Assisted Recognition (Washington, DC, October 14–16, 1998),

Proc. SPIE 3584.

9. Workshop on Performance Characterization and Benchmarking of Vision Systems, Canary Islands, Spain,

January 12, 1999.

10. International Conference on Vision Systems, Canary Islands, Spain, January 13–15, 1999.

11. International Workshop on Parallel Image Processing and Analysis—Theory and Applications, Madras,

India, January 15–16, 1999.

12. D. Sinha, Ed., Real-Time Imaging IV (San Jose, CA, January 25, 1999), Proc. SPIE 3645.

13. Third Workshop on Cybernetic Vision, Campinas, Brazil, February 23–26, 1999.

14. Shape Modeling International, Aizu, Japan, March 1–4, 1999.

15. Workshop on Large Scale Discrete Optimization in Robotics and Vision, Piscataway, NJ, March 21–23,

1999.

16. S. K. Park and R. C. Juday, Eds., Visual Information Processing VIII (Orlando, FL, April 6, 1999), Proc.

SPIE 3716.

17. B. V. Dasarathy, Ed., Sensor Fusion: Architectures, Algorithms, and Applications III (Orlando, FL, April

7–9, 1999), Proc. SPIE 3719.

18. Mathematics and Shape Recognition, Luminy, France, April 26–30, 1999.

19. Second Workshop on Graph-Based Representations, Haindorf, Austria, May 10–12, 1999.

20. Vision Interface, Trois-Rivieres, Quebec, Canada, May 18–21, 1999.

21. Workshop on Graph-Theoretic Methods in Computer Vision, Piscataway, NJ, May 20–21, 1999.

22. Technical Meeting on Machine Vision in Photogrammetry, London, England, May 26, 1999.

23. First European Workshop on Evolutionary Computation in Image Analysis and Signal Processing,

Goteborg, Sweden, May 28, 1999.

24. Eleventh Scandinavian Conference on Image Analysis, Kangerlussuaq, Greenland, June 7–11, 1999.

25. IEEE Workshop on Computer Vision Beyond the Visible Spectrum—Methods and Applications, Fort

Collins, CO, June 21–22, 1999.

26. IEEE Computer Society Second Workshop on Empirical Evaluation Methods in Computer Vision, Fort

Collins, CO, June 21–22, 1999.

27. IEEE Workshop on Statistical and Computational Theories of Vision—Modeling, Learning, Computing,

and Sampling, Fort Collins, CO, June 22, 1999.


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28. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Fort Collins, CO, June

23–25, 1999.

29. IEEE Workshop on Multi-View Modeling and Analysis of Visual Scenes, Fort Collins, CO, June 26, 1999.

30. Second IEEE International Workshop on Visual Surveillance, Fort Collins, CO, June 26, 1999.

31. International Conference on Imaging Science, Systems, and Technology, Las Vegas, NV, June 28–July

1, 1999.

32. Second International Conference on Information Fusion, Sunnyvale, CA, July 6–8, 1999.

33. Seventh IEE Conference on Image Processing and its Applications, Manchester, England, July 12–15, 1999.

34. A. G. Tescher, Ed., Applications of Digital Image Processing XXII (Denver, CO, July 20–23, 1999), Proc.

SPIE 3808.

35. L. J. Latecki, R. A. Melter, D. M. Mount, and A. Y. Wu, Eds., Vision Geometry VIII (Denver, CO, July

19–20, 1999), Proc. SPIE 3811.

36. F. Preteux, A. Mohammad-Djafari, and E. R. Dougherty, Eds., Mathematical Modeling, Bayesian

Estimation, and Inverse Problems (Denver, CO, July 21–23, 1999), Proc. SPIE 3816.

37. Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern

Recognition, York, England, July 26–29, 1999.

38. Statistical Methods for Image Processing, Uppsala, Sweden, August 6 –9, 1999.

39. NATO Advanced Research Workshop on Confluence of Computer Vision and Computer Graphics,

Ljubljana, Slovenia, August 29–31, 1999.

40. Image and Vision Computing New Zealand, Christchurch, New Zealand, August 30–31, 1999.

41. International Workshop and Symposium on Applications of Graph Transformations with Industrial

Relevance, Kerkrade, The Netherlands, September 1–3, 1999.

42. Eighth International Conference on Computer Analysis of Images and Patterns, Ljubljana, Slovenia,

September 1–3, 1999.

43. International Workshop on Fundamental Structural Properties in Image and Pattern Analysis, Budapest,

Hungary, September 6–8, 1999.

44. Irish Machine Vision and Image Processing Conference, Dublin, Ireland, September 5–9, 1999.

45. Tenth British Machine Vision Conference, Nottingham, England, September 13–16, 1999.46. D. P. Casasent, Ed., Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active

Vision (Boston, MA, September 20–21, 1999), Proc. SPIE 3837.

47. G. T. McKee and P. S. Schenker, Eds., Decentralized Control in Robotic Systems II (Boston, MA,

September 19–22, 1999) Proc. SPIE 3839.

48. Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, September 20–25, 1999.

49. Frame-Rate Workshop, Corfu, Greece, September 21, 1999.

50. International Workshop on Graph Algorithm and Computer Vision, Corfu, Greece, September 21, 1999.

51. Workshop on Vision Algorithms: Theory and Practice, Corfu, Greece, September 21, 1999.52. Tenth International Conference on Image Analysis and Processing, Venice, Italy, September 27–29, 1999.

53. Second International Conference on 3-D Digital Imaging and Modeling, Ottawa, Ontario, Canada, October

4–8, 1999.

54. Twelfth Brazilian Symposium on Computer Graphics and Image Processing, Sao Paulo, Brazil, October

17–20, 1999.

55. Second Annual IASTED International Conference on Computer Graphics and Imaging, Palm Springs,

CA, October 21–27, 1999.

56. Second Workshop on Automatic Identification Advanced Technologies, Summit, NJ, October 28–29, 1999.

57. Workshop on Vision, Modeling, and Visualization, Erlangen, Germany, November 17–19, 1999.

58. Fifth Conference on Digital Image Computing, Techniques, and Applications, Perth, Austrialia, December

6–8, 1999.

59. International Workshop on Digital and Computational Video, Tampa, FL, December 10, 1999.

60. First International Workshop on Managing Interactions in Smart Environments, Dublin, Ireland, December

13–14, 1999.


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A.2. Books, etc.

61. O. Faugeras, Three-Dimensional Computer Vision—A Geometric Viewpoint , MIT Press, Cambridge, MA,

1996.

62. K. W. Bowyer and P. J. Phillips, Eds., Empirical Evaluation Techniques in Computer Vision, IEEE Computer

Society Press, Los Alamitos, CA, 1998.

63. C. H. Chen, L. F. Pau, and P. S. P. Wang, Eds., Handbook of Pattern Recognition and Computer Vision

(second edition), World Scientific, Singapore, 1999.

64. B. Jähne, Ed., Handbook of Computer Vision and Applications, Academic Press, San Diego, 1999.

65. R. Joshi and A. C. Sanderson, Multisensor Fusion—A Minimal Representation Framework , World Scien-

tific, Singapore, 1999.

66. L. A. Klein, Sensor and Data Fusion Concepts and Applications (2nd ed.), SPIE, Bellingham, WA, 1999,

TT35.

67. M. Vincze and G. D. Hager, Eds., Robust Vision for Vision-Based Control of Motion, SPIE, Bellingham,

WA, 1999, PM73.

68. K. Bowyer, L. Stark, and G. Stockman, guest eds., Special Issue: Image Computation and Education,

IJPRAI 12(8), December 1998, 1033–1123.

69. S. F. Chang, P. W. Wong, and H. J. Zhang, guest eds., Special Issue on Image Technology for World Wide

Web Applications, JVCIR 9(4), December 1998, 255–380.

70. G. Roth, Guest Ed., Special Issue on 3D Digital Imaging and Modelling, IVC 17(2), February 1999, 85–166.

71. A. Del Bimbo, Guest Ed., Part[ial] Special Issue: Color and Texture Analysis, PR 32(3), March 1999,433–527.

72. Y. Suenaga, Guest Ed., Surveys on Image Processing Technologies—Algorithms, Sensors, and Applica-

tions, T-IS E82D(3), March 1999, 121–636.

73. M. A. Viergever, Guest Ed., Special Issue: Computer Vision Research at Utrecht University and the Uni-

versity Hospital Utrecht, IJCV 31(2–3), April 1999, 107–259.

74. P. J. Phillips and K. W. Bowyer, Guest Eds., Special Section on Empirical Evaluation of Computer Vision

Algorithms, T-PAMI 21(4), April 1999, 289–335.

75. O. Faugeras and T. Kanade, Eds., Special Issue: 1998 Marr Prize, IJCV 32(1), August 1999, 5–61.76. T. Poggio and C. R. Shelton, Machine learning, machine vision, and the brain, AIM 20(3), Fall 1999, 37–55.

77. B. A. Maxwell, Teaching computer vision to computer scientists: Issues and a comparative-textbook review,

IJPRAI 12, 1998, 1035–1051.

78. S. L. Tanimoto, Connecting middle school mathematics to computer vision and pattern recognition, IJPRAI

12, 1998, 1053–1079.

79. S. Sarkar and D. Goldgof, Integrating image computation in undergraduate level data-structure education,

IJPRAI 12, 1998, 1071–1080.

80. R. R. Murphy, Teaching image computation in an upper level elective on robotics, IJPRAI 12, 1998,1081–1093.

81. R. B. Fisher and K. Kuryllos, Interactive textbooks: Embedding image processing operator demonstrations

in text, IJPRAI 12, 1998, 1095–1123.

82. A. Rosenfeld, Image analysis and computer vision: 1998, CVIU 74, 1999, 36–95.

B. RELATED TOPICS

B.1. Geometry and Graphics

83. International Conference on Computer Graphics and Visualization, Plzen, Czech Republic, February 8–12,

1999.

84. International Conference on Visual Computing—Interaction, Modeling, Rendering, Animation, and 3D

Environments, Goa, India, February 23–26, 1999.

85. First International Symposium on Mixed Reality, Yokohama, Japan, March 9–11, 1999.


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86. Technical Meeting on Vision in the Media, London, England, March 10, 1999.

87. IEEE Virtual Reality 99, Houston, TX, March 13–17, 1999.

88. Fifteenth European Workshop on Computational Geometry, Antibes, France, March 15–17, 1999.

89. Eighth Conference on Discrete Geometry for Computer Imagery, Noisy-Le-Grand, France, March 17–19,

1999.

90. ACM Symposium on Interactive 3D Graphics, Atlanta, GA, April 26–28, 1999.

91. Eurographics–IEEE Symposium on Visualization, Vienna, Austria, May 26–28, 1999.

92. Graphics Interface, Kingston, Ontario, Canada, June 2–4, 1999.

93. Fifteenth ACM Symposium on Computational Geometry, Miami Beach, FL, June 13–16, 1999.

94. 26th International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), Los

Angeles, CA, August 8–13, 1999.

95. Eleventh Canadian Conference on Computational Geometry, Vancouver, British Columbia, Canada, August15–18, 1999.

96. Fourth Workshop on Computational Geometry, Baltimore, MD, October 15–16, 1999.

97. Second International Workshop on Augmented Reality, San Francisco, CA, October 20–21, 1999.

98. Sixth SIAM Conference on Geometric Design, Albuquerque, NM, November 2–5, 1999.

99. D. Z. Du and F. Hwang, Computing in Euclidean Geometry, World Scientific, Singapore, 1995.

100. B. Lichtenbelt, R. Crane, and S. Naqvi, Introduction to Volume Rendering, Prentice-Hall, Upper Saddle

River, NJ, 1998.

101. G. Farin, NURBS for Curve and Surface Design, A. K. Peters, Natick, MA, 1999.

102. D. Y. Hsu, Spatial Error Analysis, IEEE Press, Piscataway, NJ, 1999.

103. T. Möller and E. Haines, Real-Time Rendering, A. K. Peters, Natick, MA, 1999.

104. K. L. Clarkson, Ed., Special Issue: ACM Symposium on Computational Geometry (Minneapolis, MN,

June 7–10, 1998), DCG 22(4), December 1999, 479–648.

105. A. Rosenbloom, Toward an image indistinguishable from reality, CACM 42(8), 1999, 28–90.

106. D. P. Greenberg, A framework for realistic image synthesis, CACM 42(8), 1999, 44–53.

107. K. Mehlhorn, S. Näher, M. Seel, R. Seidel, T. Schilz, S. Schirra, and C. Uhrig, Checking geometric programs

or verification of geometric structures, CGT & A 12, 1999, 85–103.

108. J. E. Baker, I. F. Cruz, G. Liotta, and R. Tammassia, Visualizing geometric algorithms over the Web,

CGT & A 12, 1999, 125–152.

109. S. Petitjean, Algebraic geometry and computer vision: Polynomial systems, real and complex roots, JMIV

10, 1999, 191–220.

110. P. Veelaert, Geometric constructions in the digital plane, JMIV 11, 1999, 99–118.

111. E. Cerezo, A. Pina, and F. J. Serón, Motion and behaviour modelling: State of art and new trends, VC 15,

1999, 124–146.

112. C. S. Chen, C. K. Yu, and Y. P. Hung, New calibration-free approach for augmented reality based on

parameterized cuboid structure, ICCV, 30–37.

113. K. Nishino, Y. Sato, and K. Ikeuchi, Appearance compression and synthesis based on 3D model for mixed

reality, ICCV, 38–45.

B.2. Compression and Processing

114. I. Bloch and A. L. Ralescu, Eds., Special Issue: Fuzzy Image Processing (Papers presented at the Inter-national Conference on Image Processing, Lausanne, Switzerland, September 1996), PR 32(11), 1999,

1825–1933.

115. E. R. Dougherty and J. T. Astola, Eds., Nonlinear Image Processing X (San Jose, CA, January 25–26,

1999), Proc. SPIE 3646.

116. K. Aizawa, R. L. Stevenson, and Y. Q. Zhang, Eds., Visual Communications and Image Processing ’99

(San Jose, CA, January 25–27, 1999), Proc. SPIE 3653.


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117. IEEE Data Compression Conference, Snowbird, UT, March 29–31, 1999.

118. H. H. Szu, Ed., Wavelet Applications VI (Orlando, FL, April 6–8, 1999), Proc. SPIE 3723.

119. Image Processing, Image Quality, Image Capture Systems Conference, Savannah, Georgia, April 25–28,

1999.

120. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Antalya, Turkey, June 20–23, 1999.

121. International Workshop on Video Processing and MultimediaCommunications, Zadar, Croatia, June 23–25,

1999.

122. M. A. Unser, A. Aldroubi, and A. F. Laine, Eds., Wavelet Applications in Signal and Image Processing VII

(Denver, CO, July 19–23, 1999), Proc. SPIE 3813.

123. M. S. Schmalz, Ed., Mathematics of Data/Image Coding, Compression, and Encryption II (Denver, CO,

July 19–20, 1999), Proc. SPIE 3814.

124. T. J. Schulz and P. S. Idell, Eds., Digital Image Recovery and Synthesis IV (Denver, CO, July 20–21, 1999),

Proc. SPIE 3815.

125. H. Shi and P. C. Coffield, Eds., Parallel and Distributed Methods for Image Processing III (Denver, CO,

July 22, 1999), Proc. SPIE 3817.

126. IEEE International Conference on Image Processing, Kobe, Japan, October 25–28, 1999.

127. IEE European Workshop on Distributed Imaging, London, England, November 18–19, 1999.

128. K. R. Castleman, Digital Image Processing (2nd ed.), Prentice-Hall, Upper Saddle River, NJ, 1996.

129. K. Sayood, Introduction to Data Compression, Morgan Kaufmann, San Francisco, CA, 1996.

130. J. D. Gibson, T. Berger, T. Lookabaugh, D. Lindbergh, and R. L. Baker, Digital Compression for Multi-media: Principles and Standards, Morgan Kaufmann, San Francisco, CA, 1998.

131. E. R. Dougherty and J. T. Astola, Eds., Nonlinear Filters for Image Processing, SPIE, Bellingham, WA,

1999, PM59.

132. E. R. Dougherty, Electronic Imaging Technology, SPIE, Bellingham, WA, 1999, PM60.

133. Z. P. Liang and P. C. Lauterbur, Principles of Magnetic Resonance Imaging: A Signal Processing Perspec-

tive, SPIE, Bellingham, WA, 1999, PM76.

134. Y. Y. Tang, J. Liu, L. Yang, and H. Ma, Wavelet Theory and its Application to Pattern Recognition, World

Scientific, Singapore, 1999.135. R. H. Vollmerhausen and R. G. Driggers, Analysis of Sampled Imaging Systems, SPIE, Bellingham, WA,

1999, TT39.

136. S. Welstead, Fractal and Wavelet Image Compression Techniques, SPIE, Bellingham, WA, 1999, TT40.

137. B. J. Sheu, Ed., IEEE Transactions on Multimedia, 1999 ff.

138. R. D. Dony and J. A. Robinson, Eds., Special Issue: Image and Video Compression, IJIST 10(1), 1999,

1–95.

139. R. Spencer, Ed., Special Issues: Advanced Signal Processing in MRI, IJIST 10(2–3), 1999, 107–303.

140. B. Macq, Ed., Special Issue on Identification and Protection of Multimedia Information, P-IEEE 87(7),July 1999, 1059–1276.

141. H. Gharavi and L. Hanzo, Eds., Special Issue on Video Transmission for Mobile Multimedia Applications,

P-IEEE 87(10), October 1999, 1703–1824.

142. S. Suthaharan, S. Sathananthan, C. Markhauser, and L. Guan, Eds., Special Issue on Real-Time Digital

Video over Multimedia Networks, RTI 5(5), October 1999, 293–375.

143. O. Egger, P. Fleury, T. Ebrahim, and M. Kunt, High performance compression of visual information—A

tutorial review—Part I: Still pictures, P-IEEE 87, 1999, 974–1011.

144. T. Naemura, M. Kaneko, and H. Harashima, Compression and representation of 3-D images, T-IS E82D,1999, 558–567.

B.3. Sensors and Optics

145. D. P. Casasent and T. H. Chao, Eds., Optical Pattern Recognition X (Orlando, FL, April 7–8, 1999), Proc.

SPIE 3715.


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146. Y. V. Gulaev, Ed., Optical Information Processing (Moscow, Russia, May 28–31, 1999), Proc. SPIE 3900.

147. B. Javidi and D. Psaltis, Eds., Algorithms, Devices, and Systems for Optical Information Processing III

(Denver, CO, July 20–21, 1999), Proc. SPIE 3804.

148. H. C. Hughes, Sensory Exotica, MIT Press, Cambridge, MA, 1999.

149. C. Scott, Introduction to Optics and Optical Imaging, IEEE Press, Piscataway, NJ, 1999.

150. F. T. Yu and S. Tin, Eds., Optical Pattern Recognition, SPIE, Bellingham, WA, 1999, MS156.

151. Y. Yagi, Omnidirectional sensing and its applications, T-IS E82D, 1999, 568–579.

152. K. Aizawa, Computational sensors—Vision VLSI, T-IS E82D, 1999, 580–588.

153. V. Brajovic and T. Kanade, A VLSI sorting image sensor: Global massively parallel intensity-to-time

processing for low-latency adaptive vision, T-RA 15, 1999, 67–75.

154. T. Kuyel, W. Geisler, and J. Ghosh, Retinally reconstructed images: Digital images having a resolution

match with the human eye, T-SMC A29, 1999, 238.

155. S. K. Nayar and V. Peri, Folded catadioptric cameras, CVPR B, 217–223.

156. T. L. Conroy and J. B. Moore, Resolution invariant surfaces for panoramic vision systems, ICCV, 392–397.

157. T. Hamamoto, R. Ooi, Y. Ohtsuka, and K. Aizawa, Real-time image processing by using image compression

sensor, ICIP, 27PP5B.3.

158. K. Takeuchi, T. Naemura, and H. Harashima, Acquisition of light rays using telecentric lens, ICIP,

27PP5B.5.

159. K. Yamada, H. Masuda, and T. Ito, The omnidirectional vision sensor for in-vehicle image processing

applications, ICIP, 28AS1.3.

B.4. Visual Perception

160. B. E. Rogowitz and T. N. Pappas, Eds., Human Vision and Electronic Imaging IV (San Jose, CA, January

25–28, 1999), Proc. SPIE 3644.

161. Conference on Vision and Attention, Toronto, Ontario, Canada, June 22–26, 1999.

162. IEEE Computer Society Workshop on Human and Computer Vision, Corfu, Greece, September 20–21,

1999.

163. D. D. Hoffman, Visual Intelligence, Norton, New York, 1998.

164. P. G. J. Barten, Contrast Sensitivity of the Human Eye and Its Effects on Image Quality, SPIE, Bellingham,

WA, 1999, PM72.

165. R. Casati and A. C. Varzi, Parts and Places—The Structures of Spatial Representation, MIT Press,

Cambridge, MA, 1999.

166. V. Coltheart, Ed., Fleeting Memories—Cognition of Brief Visual Stimuli, MIT Press, Cambridge, MA,

1999.

167. S. Edelman, Representation and Recognition in Vision, MIT Press, Cambridge, MA, 1999.168. S. E. Palmer, Vision Science—Photons to Phenomenology, MIT Press, Cambridge, MA, 1999.

169. M. J. Tarr and H. H. Bülthoff, Eds., Object Recognition in Man, Monkey, and Machine, MIT Press,

Cambridge, MA, 1999.

170. Z. Pylyshyn, Is vision continous with cognition? The case for cognitive impenetrability of visual perception,

Behavioral and Brain Sciences 22, 1999, 341–423.

B.5. Neural Networks

171. N. M. Nasrabadi and A. K. Katsaggelos, Eds., Applications of Artificial Neural Networks in Image Pro-

cessing IV (San Jose, CA, January 28–29, 1999), Proc. SPIE 3647.

172. Third International Conference on Cognitive and Neural Systems, Boston, MA, May 26–29, 1999.

173. International Joint Conference on Neural Networks, Washington, DC, July 10–16, 1999.

174. Thirteenth Annual Conference on Neural Information Processing Systems, Denver, CO, November 30 –

December 2, 1999.


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175. D. Saad, On-Line Learning in Neural Networks, Cambridge University Press, New York, 1998.

176. G. Hinton and T. J. Sejnowski, Unsupervised Learning, Bradford, Scituate, MA, 1999.

B.6. Artificial Intelligence and Pattern Recognition177. International Symposium on Pattern Recognition in Memory of Pierre Devijver, Brussels, Belgium, Febru-

ary 12, 1999.

178. K. L. Priddy, P. E. Keller, D. B. Fogel, and J. C. Bezdek, Eds., Applications and Science of Computational

Intelligence II (Orlando, FL, April 5–8, 1999), Proc. SPIE 3722.

179. IEE Colloquium on Applied Statistical Pattern Recognition, Birmingham, England, April 20, 1999.

180. Fifth International Conference on Pattern Recognition and Information Processing, Minsk, Belarus, May

18–20, 1999.

181. Pattern Recognition in Practice VI, Vlieland, The Netherlands, June 2–4, 1999.

182. E. S. Gelsema and J. F. Veenland, Eds., Special Issue on Pattern Recognition in Practice VI, PRL 20(11–13),

November 1999, 1073–1465.

183. Sixteenth National Conference on Artificial Intelligence, Orlando, FL, July 18–22, 1999.

184. B. Bosacchi, D. B. Fogel, and J. C. Bezdek, Eds., Applications and Sciences of Neural Networks, Fuzzy

Systems, and Evolutionary Computation II (Denver, CO, July 19–20, 1999), Proc. SPIE 3812.

185. Sixteenth International Joint Conference on Artificial Intelligence, Stockholm, Sweden, July 31–August

6, 1999.

186. International Workshop on Machine Learning and Data Mining in Pattern Recognition, Leipzig, Germany,

September 16–18, 1999.

187. ANNIE—Smart Engineering System Design, St. Louis, MO, November 7–10, 1999.

188. Fourth International Conference on Advances in Pattern Recognition and Digital Techniques, Calcutta,

India, December 28–31, 1999.

189. P. Arabie, L. J. Hubert, and G. De Soete, Eds., Clustering and Classification, World Scientific, Singapore,

1996.

190. C. Leondes, Fuzzy Theory Systems Techniques and Applications, Academic Press, San Diego, 1999.

191. S. K. Pal and S. Mitra, Neuro-Fuzzy Pattern Recognition—Methods in Soft Computing, Wiley, New York,

1999.

192. S. Theodoridis and K. Koutroubas, Pattern Recognition, Academic Press, San Diego, 1999.

193. D. B. Fogel, T. Fukuda, and L. Guan, Eds., Special Issue on Computational Intelligence, P-IEEE 87(9),

September 1999, 1415–1667.

194. V. Cherkassy and F. Muller, Eds., Special Issue on VC Learning Theory and its Applications, T-NN 10,

September 1999, 985–1074.

195. J. O. Everett, Topological inference of teleology: Deriving function from structure via evidential reasoning,

AI 113, 1999, 149–202.

196. V. N. Vapnik, An overview of statistical learning theory, T-NN 10, 1999, 988–999.

197. A. Baraldi and P. Blonda, A survey of fuzzy clustering algorithms for pattern recognition, T-SMC B29,

1999, 778–801.

198. B. J. Frey and N. Jojic, Extimating mixture models of images and inferring spatial transformations using

the EM algorithm, CVPR A, 416– 422.

199. A. L. Ratan, O. Maron, W. E. L. Grimson, and T. Lozano-Pérez, A framework for learning query concepts

in image classification, CVPR A, 423–429.

C. APPLICATIONS

C.1. Documents

200. D. P. Lopresti and J. Zhou, Eds., Document Recognition and Retrieval VI (San Jose, CA, January 27–28,

1999), Proc. SPIE 3651.


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201. Symposium on Document Image Understanding Technologies, Annapolis, MD, April 14–16, 1999.

202. First International Workshop on Document Analysis and Understanding for Document Databases, Florence,

Italy, August 30–September 1, 1999.

203. Workshop on Document Layout Interpretation and its Applications, Bangalore, India, September 18, 1999.

204. International Workshop on Performance Evaluation Issues in Multilingual OCR, Bangalore, India, Septem-

ber 19, 1999.

205. Fifth International Conference on Document Analysis and Recognition, Bangalore, India, September 20–

22, 1999.

206. Third International Workshop on Graphics Recognition, Jaipur, India, September 26–27, 1999.

207. AAAI Symposium on Using Layout for the Generation, Understanding, or Retrieval of Documents, North

Falmouth, MA, November 5–7, 1999.

208. S. Jäger, Recovering Dynamic Information from Static Handwritten Word Images, Folbach, Koblenz,

Germany, 1998.

209. S. W. Lee, Advances in Handwriting Recognition, World Scientific, Singapore, 1999.

210. S. W. Lee, Y. Y. Tang, and P. S. P. Wang Advances in Oriental Document Analysis and Recognition

Techniques, World Scientific, Singapore, 1999.

211. S. Mori, H. Nishida, and H. Yamada, Optical Character Recognition, Wiley, New York, 1999.

212. S. V. Rice, G. Nagy, and T. A. Nartker, Optical Character Recognition—An Illustrated Guide to the Frontier ,

Kluwer, Boston, 1999.

213. T. Watanabe, Document analysis and recognition, T-IS E82D, 1999, 601–610.

C.2. Biomedical, etc.

214. S. K. Mun and Y. Kim, Eds., Image Display (San Diego, CA, February 21–23, 1999), Proc. SPIE 3658.

215. J. M. Boone and J. T. Dobbins, Eds., Physics of Medical Imaging (San Diego, CA, February 21–23, 1999),

Proc. SPIE 3659.

216. C. T. Chen and A. V. Clough, Eds., Physiology and Function from Multidimensional Images (San Diego,

CA, February 21–23, 1999), Proc. SPIE 3660.

217. K. M. Hanson, Ed., Image Processing (San Diego, CA, February 22–25, 1999), Proc. SPIE 3661.

218. G. J. Blaine and S. C. Horii, Eds., PACS Design and Evaluation: Engineering and Clinical Issues (San

Diego, CA, February 23–25, 1999), Proc. SPIE 3662.

219. E. A. Krupinski, Ed., Image Perception and Performance (San Diego, CA, February 24–25, 1999), Proc.

SPIE 3663.

220. Second International Conference on Medical Image Computing and Computer-Assisted Intervention,

Cambridge, England, September 19–22, 1999.

221. IEEE Workshop on Biomedical Imaging, Perth, Australia, November 24, 1999.

222. B. Pham, M. Braun, A. J. Maeder, and M. P. Eckert, Eds., New Approaches in Medical Image Analysis,

Proc. SPIE 3747.

223. E. R. Davies, Image Processing for the Food Industry, World Scientific, Singapore, 2000.

224. B. Lintermann and O. Deussen, Interactive modeling of plants, CG& A 19(1), 1999, 56–65.

225. A. R. Jiminez, A. K. Jain, R. Ceres, and J. L. Pons, Automatic fruit recognition: A survey and new results

using range/attenuaion images, PR 32, 1999, 1719–1736.

226. J. Toriwaki and K. Mori, Recent progress in medical image processing—Virtualized human body and

computer-aided surgery, T-IS E82D, 1999, 611–628.

227. Q. Yu and D. Terzopoulos, Synthetic motion capture: Implementing an interactive virtual marine world,

VC 15, 1999, 377–394.

C.3. Human

228. Second International Conference on Audio- and Video-Based Biometric Person Authentication,

Washington, DC, March 22–23, 1999.


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229. Workshop on Modelling People, Corfu, Greece, September 20, 1999.

230. International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time

Systems, Corfu, Greece, September 26–27, 1999.

231. D. McNeill, The Face, Little, Brown, Boston, MA, 1998.

232. S. Gong, S. J. McKenna, and A. Psarrou, Dynamic Vision: A Computational Approach to the Perception

of Human Faces, Imperial College Press, London, 1999.

233. A. Jain, R. Bolle, and S. Pankanti, Biometrics—Personal Identification in [a] Networked Society, Kluwer,

Boston, MA, 1999.

234. I. A. Essa, Computers seeing people, AIM 20(2), Summer 1999, 69–82.

235. N. I. Badler, M. S. Palmer, and R. Bindiganavale, Animation control for real-time virtual humans, CACM

42(8), 1999, 64–73.

236. D. M. Gavrila, The visual analysis of human movement: A survey, CVIU 73, 1999, 82–98.

237. Y. Yacoob and M. J. Black, Parameterized modeling and recognition of activities, CVIU 73, 1999, 232–

247.

238. J. K. Aggarwal and Q. Cai, Human motion analysis: A review, CVIU 73, 1999, 428–440.

239. Y. H. Kwon and N. da Vitoria Lobo, Age classification from facial images, CVIU 74, 1999, 1–21.

240. S. Wachter and H. H. Nagel, Tracking persons in monocular image sequences, CVIU 74, 1999, 174–192.

241. F. Levasle, G. Rives, and M. Dhome, Tracking of human limbs by multiocular vision, CVIU 75, 1999,

229–246.

242. P. Fua and C. Miccio, Animated heads from ordinary images: A least-squares approach, CVIU 75, 1999,247–259.

243. K. J. Choi, S. H. Park, and H. S. Ko, Processing motion capture to achieve accuracy, GMIP 61, 1999,

260–273.

244. I. A. Kakadiaris and D. Metaxas, Three-dimensional human body model acquisition from multiple views,

IJCV 30, 1998, 191–218.

245. D. A. Forsyth and M. M. Fleck, Automatic detection of human nudes, IJCV 32, 1999, 63–77.

246. J. Davis and M. Shah, Toward 3-D gesture recognition, IJPRAI 13, 1999, 381–393.

247. Z. Zhang, Feature-based facial expression recognition: Sensitivity analysis and experiments with a multi-layer Perceptron, IJPRAI 13, 1999, 893–911.

248. J. Huang and H. Wechsler, Eye detection using optimal wavelet packets and radial basis functions, IJPRAI

13, 1999, 1009–1025.

249. Y. Yasumuro, Q. Chen, and K. Chihara, Three-dimensional modeling of the human hand with motion

constraints, IVC 17, 1999, 149–156.

250. J. Matas, K. Jonsson, and J. Kittler, Fast face localisation and verification, IVC 17, 1999, 575–581.

251. A. J. O’Toole, T. Price, T. Vetter, J. C. Bartlett, and V. Blanz, 3D shape and 2D surface textures of human

faces: The role of “averages” in attractiveness and age, IVC 18, 1999, 9–19.252. J. Cai and A. Goshtasby, Detecting human faces in color images, IVC 18, 1999, 63–75.

253. C. C. Lien and C. L. Huang, The model-based dynamic hand posture identification using genetic algorithm,

MVA 11, 1999, 107–121.

254. S. Becker, Implicit learning in 3D object recognition: The importance of temporal context, NC 11, 1999,

347–374.

255. F. Jurie, A new log-polar mapping for space variant imaging. Application to face detection and tracking,

PR 32, 1999, 865–875.

256. J. Miao, B. Yin, K. Wang, L. Shen, and X. Chen, A hierarchical multiscale and multiangle system forhuman face detection in a complex background using gravity-center template, PR 32, 1999, 1237–1248.

257. J. Hu, H. Yan, and M. Sakalli, Locating head and face boundaries for head-shoulder images, PR 32, 1999,

1317–1333.

258. T. Kondo and H. Yan, Automatic human face detection and recognition under non-uniform illumination,

PR 32, 1999, 1707–1718.

259. L. Wiskott, The role of topographical constraints in face recognition, PRL 20, 1999, 89–96.


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260. M. V. Ibañez and A. Simó, Bayesian detection of the fovea in eye fundus angiographies, PRL 20, 1999,

229–240.

261. L. Yin and A. Basu, Integrating active face tracking with model based coding, PRL 20, 1999, 651–657.

262. C. Colombo and A. Del Bimbo, Real-time head tracking from the deformation of eye contours using a

piecewise affine camera, PRL 20, 1999, 721–730.

263. S. Chan, C. W. Ngo, and K. F. Lai, Motion tracking of human mouth by generalized deformable models,

PRL 20, 1999, 879–887.

264. T. W. Yoo and I. S. Oh, A fast algorithm for tracking human faces based on chromatic histograms, PRL

20, 1999, 967–978.

265. J. G. Wang and E. Sung, Frontal-view face detection and facial feature extraction using color and morpho-

logical operations, PRL 20, 1999, 1053–1068.

266. G. Wei and I. K. Sethi, Face detection for image annotation, PRL 20, 1999, 1313–1321.

267. S. Li, W. Hsu, and H. K. Pung, Twins: A practical vision-based 3D mouse, RTI 4, 1998, 389–401.

268. S. K. Semual and M. J. Parker, An animation system for biomechanical analysis of leg motion and predicting

injuries during cycling, RTI 5, 1999, 109–123.

269. T. Tan, L. Guan, and J. Burne, A real-time image analysis system for computer-assisted diagnosis of

neurological disorders, RTI 5, 1999, 253–269.

270. M. Kaneko and O. Hasegawa, Processing of face images and its applications, T-IS E82D, 1999, 589–600.

271. B. Duc, S. Fischer, and J. Bigün, Face authentication with Gabor information on deformable graphs, T-IP

8, 1999, 504–516.

272. C. H. Lin and J. L. Wu, Automatic facial feature extraction by genetic algorithms, T-IP 8, 1999, 834–845.

273. S. Z. Li and J. Lu, Face recognition using the nearest feature line method, T-NN 10, 1999, 439–443.

274. S. Ben-Yacoub, Y. Abdeljaoued, and E. Mayoraz, Fusion of face and speech data for person identity

verification, T-NN 10, 1999, 1065–1074.

275. H. Wu, Q. Chen, and M. Yachida, Face detection from color images using a fuzzy pattern matching method,

T-PAMI 21, 1999, 557–563.

276. I. Craw, N. Costen, T. Kato, and S. Akamatsu, How should we represent faces for automatic recognition?,

T-PAMI 21, 1999, 725–736.277. Y. Cui and J. Weng, A learning-based prediction-and-verification segmentation scheme for hand sign image

sequence, T-PAMI 21, 1999, 798–804.

278. A. D. Wilson and A. F. Bobick, Parametric hidden Markov models for gesture recognition, T-PAMI 21,

1999, 884–900.

279. H. K. Lee and J. H. Kim, An HMM-based threshold model approach for gesture recognition, T-PAMI 21,

1999, 961–973.

280. G. Donato, M. Stewart Bartlett, J. C. Hager, P. Ekman, and T. J. Sejnowski, Classifying facial actions,

T-PAMI 21, 1999, 974–989.281. O. de Vel and S. Aeberhard, Line-based face recognition under varying pose, T-PAMI 21, 1999, 1081–

1088.

282. Q. Cai and J. K. Aggarwal, Tracking human motion in structured environments using a distrbuted-camera

system, T-PAMI 21, 1999, 1241–1247.

283. M. J. Lyons, J. Budynek, and S. Akamatsu, Automatic classification of single facial images, T-PAMI 21,

1999, 1357–1362.

284. Y. Nam, K. Wohn, and H. L. Kwang, Modeling and recognition of hand gesture using colored Petri nets,

T-SMC A29, 1999, 514–521.285. M. Ouerfelli, V. Kumar, and W. S. Harwin, Kinematic modeling of head-neck movements, T-SMC A29,

1999, 604–615.

286. V. Chalzis, A. G. Bors, and I. Pitas, Multimodal decision-level fusion for person authentication, T-SMC

A29, 1999, 674–680.

287. S. Y. Cho, T. W. S. Chow, and C. T. Leung, A neural-based crowd estimation by hybrid global learning

algorithm, T-SMC B29, 1999, 535–541.


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288. J. K. Hodgins, J. F. O’Brien, and J. Tumblin, Perception of human motion with different geometric models,

T-VCG 4, 1998, 307–316.

289. Y. Aydin and M. Nakajima, Balance control and mass centre adjustment of articulated figures in interactive

environments, VC 15, 1999, 113–123.

290. L. H. Chen, S. Saeyor, H. Dohi, and M. Ishizuka, A system of 3D hair style synthesis based on the wisp

model, VC 15, 1999, 159–170.

291. Y. Wu, P. Kalra, L. Moccozet, and N. Magnenat-Thalmann, Simulating wrinkles and skin aging, VC 15,

1999, 183–198.

292. I. S. Pandzic, J. Ostermann, and D. Miller, User evaluation: Synthetic talking faces for interactive services,

VC 15, 1999, 330–340.

293. W. Tang, M. Cavazzo, D. Mountain, and R. Earnshaw, A constrained inverse kinematics technique for

real-time motion capture animation, VC 15, 1999, 413–425.

294. M. J. Jones and J. M. Rehg, Statistical color models with application to skin detection, CVPR A, 274–280.

295. M. J. Black, Explaining optical flow events with parameterized spatio-temporal models, CVPR A, 326–332.

296. M. H. Yang and N. Ahuja, Recognizing hand gesture[s] using motion trajectories, CVPR A, 466–472.

297. A. Utsumi and J. Ohya, Multiple-hand-gesture-tracking using multiple cameras, CVPR A, 473–478.

298. J. Segen and S. Kumar, Shadow gestures: 3D hand pose estimation using a single camera, CVPR A,

479–485.

299. G. J. Edwards, C. J. Taylor, and T. F. Cootes, Improving identification performance by integrating evidence

from sequences, CVPR A, 486 –491.

300. N. Costen, T. Cootes, G. Edwards, and C. Taylor, Simultaneous extraction of functional face subspaces,

CVPR A, 492–497.

301. S. Ben-Yacoub, J. Lüttin, K. Jonsson, J. Matas, and J. Kittler, Audio-visual person verification, CVPR A,

580–585.

302. D. B. Graham and N. M. Allinson, Norm2 based face recognition, CVPR A, 586–592.

303. A. J. Colmenarez, B. Frey, and T. S. Huang, A probabilistic framework for embedded face and facial

expression recognition, CVPR A, 592–597.

304. C. Liu and H. Wechsler, Face recognition using shape and texture, CVPR A, 598–603.

305. M. La Cascia and S. Sclaroff, Fast, reliable head tracking under varying illumination, CVPR A, 604–610.

306. H. Tao and T. S. Huang, Explanation-based facial motion tracking using a piecewise Bezier volume

deformation model, CVPR A, 611–617.

307. D. Nandy and J. Ben-Arie, Shape from recognition and learning: Recovery of 3D face shapes, CVPR B,

2–7.

308. R. Hamdan, F. Heitz, and L. Thoraval, Gesture localization and recognition using probabilistic visual

learning, CVPR B, 98–103.

309. O. Chomat and J. L. Crowley, Probabilistic recognition of activity using local appearance, CVPR B, 104–

109.

310. J. M. Rehg, K. P. Murphy, and P. W. Fieguth, Vision-based speaker detection using Bayesian networks,

CVPR B, 110–116.

311. R. Rosales and S. Sclaroff, 3D trajectory recovery for tracking multiple objects and trajectory-guided

recognition of actions, CVPR B, 117–123.

312. D. DeCarlo and D. Metaxas, Combining information using hard constraints, CVPR B, 132–138.

313. T. J. Cham and J. M. Rehg, A multiple hypothesis approach to figure tracking, CVPR B, 239–245.

314. H. Pan, Z. P. Liang, and T. S. Huang, Exploiting the dependencies in information fusion, CVPR B, 407–412.315. G. Gordon, T. Darrell, M. Harville, and J. Woodfill, Background estimation and removal based on range

and color, CVPR B, 459–464.

316. T. Riklin-Raviv and A. Shashua, The quotient image: Class based recognition and synthesis under varying

illumination conditions, CVPR B, 566–571.

317. V. Pavlovic, B. J. Frey, and T. S. Huang, Time-series classification using mixed-state dynamic Bayesian

networks, CVPR B, 609–615.


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318. Z. Popovic and A. Witkin, Physically based motion transformation, SIGGRAPH, 11–20.

319. M. Brand, Voice puppetry, SIGGRAPH, 21–28.

320. J. Lee and S. Y. Shin, A hierarchical approach to interactive motion editing for human-like figures,

SIGGRAPH, 39–48.

321. V. Blanz and T. Vetter, A morphable model for the synthetsis of 3D faces, SIGGRAPH, 187–194.

322. P. Fua, Using model-driven bundle-adjustment to model heads from raw video sequences, ICCV, 46–53.

323. V. Pavlovic, J. M. Rehg, T. J. Cham, and K. P. Murphy, A dynamic Bayesian network approach to figure

tracking using learned dynamic models, ICCV, 94–101.

324. I. Haritaoglu, R. Cutler, D. Harwood, and L. S. Davis, Backpack: Detection of people carrying objects

using silhouettes, ICCV, 102–107.

325. C. Vogler and D. Metaxas, Parallel hidden Markov models for American Sign Language recognition, ICCV,

116–122.

326. N. Jojic, M. Turk, and T. S. Huang, Tracking self-occluding articulated objects in dense disparity maps,

ICCV, 123–130.

327. A. Lanitis, C. J. Taylor, and T. F. Cootes, Modeling the process of ageing in face images, ICCV, 131–136.

328. G. J. Edwards, T. F. Cootes, and C. J. Taylor, Advances in active appearance models, ICCV, 137–142.

329. F. Pighin, R. Szeliski, and D. H. Salesin, Resynthesizing facial animation through 3D model-based tracking,

ICCV, 143–150.

330. eigenspace, ICCV, 151–156.

331. S. Gong, M. Walter, and A. Psarrou, Recognition of temporal structures: Learning prior and propagatingobservation augmented densities via hidden Markov states, ICCV, 157–162.

332. Y. A. Ivanov and A. F. Bobick, Recognition of multi-agent interaction in video surveillance, ICCV, 169–176.

333. B. Schiele and A. Pentland, Probabilistic object recognition and localization, ICCV, 177–182.

334. Y. Yacoob and L. Davis, Estimation of composite object and camera image motion, ICCV, 190–197.

335. M. Harville, A. Rahimi, T. Darrell, G. Gordon, and J. Woodfill, 3D pose tracking with linear depth and

brightness constraints, ICCV, 206–213.

336. Y. Iwai, K. Ogaki, and M. Yachida, Posture estimation using structure and motion models, ICCV, 214–

219.

337. D. Freedman and M. S. Brandstein, A subset approach to contour tracking in clutter, ICCV, 242–247.

338. Y. Wu and T. S. Huang, Capturing articulated human hand motion: A divide-and-conquer approach, ICCV,

606–611.

339. J. Rittscher and A. Blake, Classification of human body motion, ICCV, 634–639.

340. Q. Delamarre and O. Faugeras, 3D articulated models and multi-view tracking with silhouettes, ICCV,

716–721.

341. Y. Song, L. Goncalves, E. Di Bernardo, and P. Perona, Monocular perception of biological motion—

Detection and labeling, ICCV, 805–812.

342. T. D. Rikert, M. J. Jones, and P. Viola, A cluster-based statistical model for object detection, ICCV, 1046–

1053.

343. S. Ioffe and D. Forsyth, Finding people by sampling, ICCV, 1092–1097.

344. B. Moghaddam, Principal manifolds and Bayesian subspaces for visual recognition, ICCV, 1131–1136.

345. J. Deutscher, B. North, B. Bascle, and A. Blake, Tracking through singularities and discontinuities by

random sampling, ICCV, 1144–1149.

346. C. Papageorgiou and T. Poggio, A pattern classification approach to dynamical object detection, ICCV,

1223–1228.

347. M. Brand, Shadow puppetry, ICCV, 1237–1244.

348. A. Colmenarez, B. Frey, andT. S. Huang,Embedded face andfacialexpression recognition, ICIP, 25PP6A.1.

349. H. Saito, A. Watanabe, and S. Ozawa, Face pose estimating system based on eigen space analysis, ICIP,

25PP6A.2.

350. A. Z. Kouzani, Facial expression synthesis, ICIP, 25PP6A.3.


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351. T. Kurozumi, Y. Shinza, Y. Kenmochi, and K. Kotani, Facial individuality and expression analysis by

eigenspace method based on class features or multiple discriminant analysis, ICIP, 25PP6A.4.

352. P. Hong and T. Huang, Natural mouse—A novel human computer interface, ICIP, 25PP6B.1.

353. A. Colmenarez, B. Frey, and T. S. Huang, Detection and tracking of faces and facial features, ICIP,

25PP6B.2.

354. S. Clippingdale and T. Ito, A unified approach to video face detection—Tracking and recognition, ICIP,

25PP6B.3.

355. V. Pahor and S. Carrato, A fuzzy approach to mouth corner detection, ICIP, 25PP6B.4.

356. S. Eickeler, S. Muller, and G. Rigoll, High quality face recognition in JPEG compressed images, ICIP,

25PP6B.5.

357. D. Yoshida, K. Terada, S. Oe, and J. Yamaguchi, A method of counting (the) passing people by using (the)

stereo images, ICIP, 26AP3.9.

358. O. Vanegas, K. Tokuda, and T. Kitamura, Location normalization of HMM-based lip reading: Experiments

for the M2VTS database, ICIP, 26AP3.10.

359. M. T. Chan, Automatic lip model extraction for constrained contour-based tracking, ICIP, 26PP4. 2.

360. A. K. Jain and N. Duta, Deformable matching of hand shapes for user verification, ICIP, 26PP4.5.

361. N. Magnenat-Thalmann, M. Escher, C. Zanardi, and T. Goto, Multimodal interaction in collaborative virtual

environments, ICIP, 27AS1.1.

362. T. S. Huang and Y. Wu, Human hand modeling, analysis and animation in the context of HCI, ICIP,

27AS1.2.

363. S. Morishima and T. Yotsukura, Face-to-face communicative avatar driven by voice, ICIP, 27AS1.3.

364. T. Chen, Technologies for building networked collaborative environments, ICIP, 27AS1.4.

365. A. Albiol, C. A. Bouman, and E. J. Delp, Face detection for pseudo-semantic labeling in video databases,

ICIP, 27PO3.1.

366. M. Yang, N. Ahuja, and D. Kriegman, Face detection using a mixture of factor analyzers, ICIP, 27PO3.2.

367. F. Marques, V. Vilaplana, and A. Buxes, Human face segmentation and tracking using connected operators

and partition projection, ICIP, 27PO3.3.

368. M. Abdel-Mottaleb and A. Elgammal, Face detection in complex environments from color images, ICIP,27PO3.4.

369. L. Torres, J. Y. Reutter, and L. Lorente, The importance of the color information in face recognition, ICIP,

27PO3.5.

370. B. Menser and M. Brunig, Segmentation of human faces in color images using connected operators, ICIP,

27PO3. 6.

371. T. Tan and H. Yan, Analysis of the contractivity factor in fractal based face recognition, ICIP, 27PO3. 7.

372. A. Z. Kouzani, F. He, and K. Sammut, Face image matching using fractal dimension, ICIP, 27PO3.8.

373. J. E. Santos Conde, M. Hillebrand, A. Teuner, N. Stevanovic, U. Iurgel, and B. J. Hosticka, A smart airbagsolution based on a high speed CMOS camera system, ICIP, 27PP5B.2.

374. C. Papageorgiou and T. Poggio, Trainable pedestrian detection, ICIP, 28AS1.8.

375. L. Lorente and L. Torres, Face recognition of video sequences in a[n] MPEG-7 context using a global eigen

approach, ICIP, 28AP1.1.

376. L. Yin and A. Basu, Face model adaptation with active tracking, ICIP, 28AP1.2.

377. Y. Saito, Y. Kenmochi, and K. Kotani, Estimation of eyeglassless facial images using principal component

analysis, ICIP, 28AP1.3.

378. M. C. Park, N. P. Chandrasiri, T. Naemura, M. Kaneko, and H. Harashima, Analysis and synthesis of 3-Dface image sequence based on model-based image coding scheme with an internet browser, ICIP, 28AP1.5.

379. C. J. Kuo and T. G. Lin, Facial model refinement using stereo image sequence, ICIP, 28AP1.6.

380. C. Alberola, J. Ruiz, F. Juan, and R. Socas, Human hand posture(s) and gesture(s) recognition: Towards a

human-gesture communication interface, ICIP, 28AP1.8.

381. Y. Zhuang, X. Liu, and Y. Pan, Video motion capture using feature tracking and skeleton reconstruction,

ICIP, 28AP1.10.


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382. S. Muller, S. Eickeler, and G. Rigoll, Pseudo 3-D HMMS for image sequence recognition, ICIP, 28AP1.11.

383. G. Rigoll, S. Muller, and B. Winterstein, Robust person tracking with non-stationary background using a

combined pseudo-2D-HMM and Kalman filter approach, ICIP, 28AP1.12.

C.4. Robotics, etc.

384. K. W. Tobin and N. S. Chang, eds., Machine Vision Applications in Industrial Inspection VII (San Jose,

CA, January 25–26, 1999), Proc. SPIE 3652.

385. International Robots and Vision Show, Detroit, MI, May 11–13, 1999.

386. Quality Control by Artificial Vision, Trois-Rivieres, Quebec, Canada, May 18–21, 1999.

387. M. Kujawinska and W. Osten, Optical Measurement Systems for Industrial Inspection (Munich, Germany,

June 14–18, 1999), Proc. SPIE 3824.

388. E. Marszalec and E. Trucco, Polarization and Color Techniques in Industrial Inspection (Munich, Germany,June 14–18, 1999), Proc. SPIE 3826.

389. J. Lammasniemi, H. Wiggenhauser, G. Busso, B. G. Batchelor, W. Polzleitner, and G. Dobmann, Diagnostic

Imaging Technologies and Industrial Applications, (Munich, Germany, June 14–18, 1999), Proc. SPIE

3827.

390. Intelligent Vision Solutions for the New Millenium, Santa Clara, CA, June 28–29, 1999.

391. Applied Machine Vision, Boston, MA, September 20–22, 1999.

392. K. G. Harding, Ed., Three-Dimensional Imaging, Optical Metrology, and Inspection V (Boston, MA,

September 19–20, 1999), Proc. SPIE 3835.

393. J. W. V. Miller, S. S. Solomon, and B. G. Batchelor, Eds., Machine Vision Systems for Inspection and

Metrology VIII (Boston, MA, September 21–22, 1999), Proc. SPIE 3836.

394. The Vision Show, San Jose, CA, October 5–7, 1999.

395. Technical Meeting on Industrial Inspection, London, England, December 1, 1999

396. P. G. Cielo, Ed., Optical Techniques for Industrial Inspection, SPIE, Bellingham, WA, 1997, MS135.

397. L. Wojnar, Image Analysis Applications in Materials Engineering, CRC Press, Boca Raton, FL, 1999.

398. B. Nelson and N. Papanikolopoulos, Eds., Special Issue on Visual Servoing, RAM 5(4), December 1998,

6–57.

399. P. Nesi and E. Trucco, Eds., Special Issue on Real-Time Defect Detection, RTI 5(1), February 1999, 1–74.

400. W. B. Thompson, J. C. Owen, H. J. de St. Germain, S. R. Stark Jr., and T. C. Henderson, Feature-based

reverse engineering of mechanical parts, T-RA 15, 1999, 57–66.

401. E. Malis, F. Chaumette, and S. Boudet, 2 12

-D visual servoing, T-RA 15, 1999, 238–250.

402. B. Allotta and C. Colombo, On the use of linear camera-object interaction models in visual servoing, T-RA

15, 1999, 350–357.

403. J. E. Lloyd, J. S. Beis, D. K. Pal, and D. G. Lowe, Programming contact tasks using a reality-based virtual

environment integrated with vision, T-RA 15, 1999, 423–434.

404. R. Joshi and A. C. Sanderson, Minimal representation multisensor fusion using differential evolution,

T-SMC A29, 1999, 63–76.

405. C. Colombo and B. Allotta, Image-based robot task planning and control using a compact visual represen-

tation, T-SMC A29, 1999, 92–100.

406. G. Q. Wei and G. Hirzinger, Multisensory visual servoing by a neural network, T-SMC B29, 1999, 276–280.

C.5. Mobile Robotics; Traffic

407. J. G. Verly, Ed., Enhanced and Synthetic Vision 1999 (Orlando, FL, April 5–6, 1999), Proc. SPIE 3691.

408. G. R. Gerhart, R. W. Gunderson, and C. M. Shoemaker, Eds., Unmanned Ground Vehicle Technology

(Orlando, FL, April 7–8, 1999), Proc. SPIE 3693.

409. Second IEEE Workshop on Perception for Mobile Agents, Fort Collins, CO, June 26, 1999.

410. International Symposium on Intelligent Robotics Systems, Coimbra, Portugal, July 20–23, 1999.


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411. Eighth International Conference on Vision in Vehicles, Boston, MA, August 22–25, 1999.

412. D. W. Gage and H. M. Choset, Eds., Mobile Robots XIV (Boston, MA, September 20–22, 1999), Proc.

SPIE 3838.

413. M. A. C. Gill and A. Y. Zomaya, Obstacle Avoidance in Multi-Robot Systems—Experiments in Parallel

Genetic Algorithms, World Scientific, Singapore, 1998.

414. M. D. Adams, Sensor Modelling Design and Data Processing for Autonomous Navigation, World Scientific,

Singapore, 1999.

415. A. Broggi, M. Bertozzi, G. Conte, and A. Fascioli, Automatic Vehicle Guidance—The Experience of the

ARGO Autonomous Vehicle, World Scientific, Singapore, 1999.

416. J. L. Jones, A. M. Flynn, and B. A. Seiger, Mobile Robots—Inspiration to Implementation, A. K. Peters,

Natick, MA, 1999.

417. M. Asada, E. Uchibe, and K. Hosoda, Cooperative behavior acquisition for mobile robots in dynami-

cally changing real worlds via vision-based reinforcement learning and development, AI 110, 1999, 275–

292.

418. R. Bajcsy and E. W. Large, When and where will AI meet robotics?, AIM 20(3), Fall 1999, 57–65.

419. A. Guiducci, Parametric model of the perspective projection of a road with applications to lane keeping

and 3D road reconstruction, CVIU 73, 1999, 414–427.

420. R. Basri, E. Rivlin, and I. Shimshoni, Visual homing: Surfing on the epipoles, IJCV 33, 1999, 117–137.

421. S. Li and S. Tsuji, Qualitative representation of scenes along a route, IVC 17, 1999, 685–700.

422. A. Pentland and A. Liu, Modeling and prediction of human behavior, NC 11, 1999, 229–242.

423. K. Aas, L. Eikvil, and R. B. Huseby, Applications of hidden Markov chains in image analysis, PR 32, 1999,

703–713.

424. J. M. Sanchiz and F. Pla, Feature correspondence and motion recovery in vehicle planar navigation, PR 32,

1999, 1961–1977.

425. M. Y. Siyal and M. Fathy, A neural-vision based approach to measure traffic queue parameters in real time,

PRL 20, 1999, 761–770.

426. G. C. Anousaki and K. J. Kyriakopoulos, Simultaneous localization and map building for mobile robot

navigation, R& A Magazine 6(3), 1999, 42–53.

427. L. W. Estevez and N. Kehtarnavaz, Real-time object specific recognition via raster scan video processing,

RTI 5, 1999, 49–62.

428. G. Adorni, M. Gori, and M. Mordonini, Just-in-time landmark(s) recognition, RTI 5, 1999, 95–107.

429. M. Y. Siyal and M. Fathy, Image processing techniques for real-time qualitative traffic data analysis, RTI

5, 1999, 271–278.

430. S. Ozawa, Image processing for intelligent transport systems, T-IS E82D, 1999, 629–636.

431. J. Neira, J. D. Tardós, J. Horn, and G. Schmidt, Fusing range and intensity images for mobile robot

localization, T-RA 15, 1999, 76–84.

432. L. Jetto, S. Longhi, and G. Venturini, Development and experimental validation of an adaptive extended

Kalman filter for the localization of mobile robots, T-RA 15, 1999, 219–229.

433. M. D. Adams, High speed target pursuit and asymptotic stability in mobile robotics, T-RA 15, 1999,

230–237.

434. C. Kreucher and S. Lakshmanan, LANA: A lane extraction algorithm that uses frequency domain features,

T-RA 15, 1999, 343–350.

435. Y. Ma, J. Kosecká, and S. S. Sastry, Vision guided navigation for a nonholonomic mobile robot, T-RA 15,

1999, 521–536.

436. R. R. Murphy, Case studies of applying Gibson’s ecological approach to mobile robots, T-SMC A29, 1999,

105–111.

437. C. Únsal, P. Kachroo, and J. S. Bay, Multiple stochastic learning automata for vehicle path control in an

automated highway system, T-SMC A29, 1999, 120–128.

438. B. S. Ryu and H. S. Yang, Integration of reactive behaviors and enhanced topological map for robust mobile

robot navigation, T-SMC A29, 1999, 474–485.


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439. T. Pilutti and A. G. Ulsoy, Identification of driver state for lane-keeping tasks, T-SMC A29, 1999, 486–502.

440. A. Adam, E. Rivlin, and H. Rotstein, Fusion of fixation and odometry for vehicle navigation, T-SMC A29,

1999, 593–603.

441. R. Araujo and A. T. de Almeida, Learning sensor-based navigation of a real mobile robot in unknown

worlds, T-SMC B29, 1999, 164–178.

442. C. H. Ku andW. H. Tsai, Obstacle avoidance for autonomous land vehicle navigation in indoorenvironments

by quadratic classifier, T-SMC B29, 1999, 416–426.

443. K. T. Song and C. C. Chong, Reactive navigation in dynamic environment using a multisensor predictor,

T-SMC B29, 1999, 870–880.

444. M. Werman, S. Banerjee, S. D. Roy, and M. Qiu, Robot localization using uncalibrated camera invariants,

CVPR B, 353–359.

445. H. Leuck and H. H. Nagel, Automatic differentiation facilitates OF-integration into steering-angle-based

road vehicle tracking, CVPR B, 360–365.

446. C. J. Taylor, J. P. Ostrowski, and S. H. Jung, Robust visual servoing based on relative orientation, CVPR

B, 574–580.

447. F. Dellaert, W. Burgard, D. Fox, and S. Thrun, Using the CONDENSATION algorithm for robust, vision-

based mobile robot localization, CVPR B, 588–594.

448. A. A. Argyros and F. Bergholm, Combining central and peripheral vision for reactive robot navigation,

CVPR B, 646–651.

449. D. M. Gavrila and V. Philomin, Real-time object detection for “smart” vehicles, ICCV, 87–93.

450. J. E. Boyd, J. Meloche, and Y. Vardi, Statistical tracking in video traffic surveillance, ICCV, 163–168.

451. A. N. Rajagopalan, P. Burlina, and R. Chellappa, Higher-order statistical learning for vehicle detection in

images, ICCV, 1204–1209.

452. C. Kreucher and S. Lakshmanan, A frequency domain approach to lane detection in roadway images, ICIP,

26AS1.7.

453. M. Lorei and C. Stiller, Visual sensing in electronic truck coupling, ICIP, 26AP3.1.

454. B. Ma, S. Lakshmanan, and A. Hero, Road and lane edge detection with multisensor fusion methods, ICIP,

26PP1.1.

455. S. H. Tsang, E. G. Hoare, P. S. Hall, and N. J. Clarke, Automotive radar image processing to predict vehicle

trajectory, ICIP, 27PP4.3.

456. M. Aoki, Imaging and analysis of traffic scene, ICIP, 28AS1.1.

457. H. Taniguchi, T. Nakamura, and H. Furusawa, Methods of traffic flow measurement using spatio-temporal

image, ICIP, 28AS1.4.

458. T. Yoshioka, H. Uemura, and H. Nakaue, Development of detection algorithm for vehicles using multi-line

CCD sensor, ICIP, 28AS1.5.

459. H. Zen, T. Hasegawa, and S. Ozawa, Moving object detection from MPEG coded picture, ICIP, 28AS1.6.

460. S. K. Gehrig and F. J. Stein, Cartography and dead reckoning using stereo vision for an autonomous car,

ICIP, 28AS1.7.

C.6. Target Recognition

461. M. K. Masten and L. A, Stockum, Eds., Acquisition, Tracking, and Pointing XIII (Orlando, FL, April 7–8,

1999), Proc. SPIE 3692.

462. W. R. Watkins and D. Clement, Eds., Targets and Backgrounds: Characterization and Representation

V (Orlando, FL, April 5–7, 1999), Proc. SPIE 3699.

463. A. C. Dubey, J. F. Harvey, J. T. Broach, and R. E. Dugan, Eds., Detection and Remediation Technologies

for Mines and Minelike Targets IV (Orlando, FL, April 5–9, 1999), Proc. SPIE 3710.

464. F. A. Sadjadi, Ed., Automatic Target Recognition IX (Orlando, FL, April 7–9, 1999), Proc. SPIE 3718.

465. I. Kadar, Ed., Signal Processing, Sensor Fusion, and Target Recognition VIII (Orlando, FL, April 5–7,

1999), Proc. SPIE 3720.


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466. W. G. Fishell, Ed., Airborne Reconnaissance XXIII (Denver, CO, July 20–21, 1999), Proc. SPIE 3751.

467. O. E. Drummond, Ed., Signal and Data Processing of Small Targets 1999 (Denver, CO, July 20–22, 1999),

Proc. SPIE 3809.

468. P. Klausmann, K. Kroschel, and D. Willersinn, Performance prediction of vehicle detection algorithms, PR

32, 1999, 2063–2065.

469. N. Milisavljevic, Comparison of three methods for shape recognition in the case of mine detection, PRL

20, 1999, 1079–1083.

470. M. G. Mostafa, Target recognition via 3D object reconstruction from image sequence and contour matching,

PRL 20, 1999, 1381–1387.

471. S. M. Yamany, A. A. Farag, and S. Y. Hsu, A fuzzy hyperspectral classifier for automatic target recognition

(ATR) systems, PRL 20, 1999, 1431–1438.

472. A. Banerjee, P. Burlina, and R. Chellappa, Adaptive target detection in foliage-penetrating SAR images

using alpha-stable models, T-IP 8, 1999, 1823–1831.

473. G. Jones III and B. Bhanu, Recognition of articulated and occluded objects, T-PAMI 21, 1999, 603–613.

474. P. Runkle, L. Carin, L. Couchman, T. J. Yoder, and J. A. Bucaro, Multiaspect target identification with

wave-based matched pursuits and continuous hidden Markov models, T-PAMI 21, 1999, 1371–1378.

475. B. Kamgar-Parsi, B. Kamgar-Parsi, and A. K. Jain, Automatic aircraft recognition: Toward using human

similarity measure in a recognition system, CVPR A, 268–273.

476. M. Boshra and B. Bhanu, Performance prediction and validation for object recognition, CVPR B, 380–

386.

477. L. A. Chan, N. M. Nasrabadi, and D. Torrieri, Bipolar eigenspace separation transformation for automatic

clutter rejection, ICIP, 25AP4A.1.

478. B. Kamgar-Parsi, B. Kamgar-Parsi, and A. K. Jain, A case study in using human similarity measure for

automated object recognition, ICIP, 25PP4.2.

479. S. A. Rizvi, N. M. Nasrabadi, and S. Z. Der, A clutter rejection technique for FLIR imagery using region-

based principal component analysis, ICIP, 28AP5A.6.

C.7. Remote Sensing

480. F. Posa, Ed., SAR Image Analysis, Modeling, and Techniques (Barcelona, Spain, September 1998), Proc.

SPIE 3497.

481. S. B. Serpico, Ed., Image and Signal Processing for Remote Sensing (Barcelona, Spain, September 1998),

Proc. SPIE 3500.

482. International Workshop on 3D Geospatial Data Production, Paris, France, April 7–9, 1999.

483. First Symposium on Imaging Applications in Geology, Liege, Belgium, May 6–7, 1999.

484. Workshop on Fusion of Sensor Data, Knowledge Sources, and Algorithms for Extraction and Classification

of Topographic Objects, Valladolid, Spain, June 3–4, 1999.485. International Workshop on Integrated Spatial Databasis—Digital Images and GIS, Portland, ME, June

14–15, 1999.

486. Conference on Automatic Extraction of GIS Objects from Digital Imagery, Munich, Germany, September

6–10, 1999.

487. S. B. Serpico, Ed., Image and Signal Processing for Remote Sensing V (Florence, Italy, September 22–24,

1999), Proc. SPIE 3871.

488. K. Chan, DIGEST—A Primer for the International GIS Standard , CRC Press, Boca Raton, FL, 1998.

489. J. Sanchez and M. P. Canton, Space Image Processing, CRC Press, Boca Raton, FL, 1998.

490. C. H. Chen, Ed., Information Processing for Remote Sensing, World Scientific, Singapore, 1999.

491. H. Mayer, Automatic object extraction from aerial imagery—A survey focusing on buildings, CVIU 74,

1999, 138–149.

492. N. Haering and N. da Vitoria Lobo, Features and classification methods to locate deciduous trees in images,

CVIU 75, 1999, 133–149.


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493. C. Baillard and H. Maitre, 3-D reconstruction of urban scenes from aerial stereo imagery: A focusing

strategy, CVIU 76, 1999, 244–258.

494. K. Köster and M. Spann, Unsupervised segmentation of 3D and 2D seismic reflection data, IJPRAI 13,

1999, 643–663.

495. R. S. T. Lee and J. N. K. Liu, An automatic satellite interpretation of tropical cyclone patterns using elastic

graph dynamic link model, IJPRAI 13, 1999, 1251–1270.

496. T. Kim and J. P. Muller, Development of a graph-based approach for building detection, IVC 17, 1999,

3–14.

497. M. O. Berger, B. Wrobel-Dautoourt, S. Petitjean, and G. Simon, Mixing synthetic and video images of an

outdoor urban environment, MVA 11, 1999, 145–159.

498. T. M. Tu, H. C. Shyu, C. H. Lee, and C. I. Chang, An oblique subspace projection approach for mixed pixel

classification in hyperspectral images, PR 32, 1999, 1399–1408.

499. K. B. Eom, Unsupervised segmentation of spaceborne passive radar images, PRL 20, 1999, 485–494.

500. L. Bruzzone and D. Fernandez Prieto, An incremental-learning neural network for the classification of

remote-sensing images, PRL 20, 1999, 1241–1248.

501. J. A. Parikh, J. S. DaPonte, J. N. Vitale, and G. Tselioudis, An evolutionary system for recognition and

tracking of synoptic-scale storms, PRL 20, 1999, 1389–1396.

502. R. Bernstein and V. Di Gesu, A combined analysis to extract objects in remote sensing images, PRL 20,

1999, 1407–1414.

503. P. C. Smits and A. Annoni, Towards operational knowledge-based remote-sensing image analysis, PRL 20,

1999, 1415–1422.

504. J. A. Shufelt, Performance evaluation and analysis of monocular building extraction from aerial imagery,

T-PAMI 21, 1999, 311–326.

505. L. Chen, D. H. Cooley, and J. Zhang, Possibility-based fuzzy neural networks and their application to

image processing, T-SMC B29, 1999, 119–126.

506. G. Healey and D. Slater, Invariant recognition in hyperspectral images, CVPR A, 438–443.

507. B. Thai and G. Healey, Using a linear subspace approach for invariant subpixel material identification in

airborne hyperspectral imagery, CVPR A, 567–572.

508. S. Coorg and S. Teller, Extracting textured vertical facades from controlled close-range imagery, CVPR A,

625–632.

509. D. Slater and G. Healey, Material classification for 3D objects in aerial hyperspectral images, CVPR B,

268–273.

510. J. Li, R. Nevatia, and S. Nornoha, User assisted modeling of buildings from aerial images, CVPR B,

274–279.

511. A. L. Yuille and J. Coughlan, High-level and generic models for visual search: When does high level

knowledge help?, CVPR B, 631–637.

512. M. Marengoni, A. Hanson, S. Zilberstein, and E. Riseman, Control in a 3D reconstruction system using

selective perception, ICCV, 1229–1236.

513. L. Bruzzone and D. Fernandez Prieto, An MRF approach to unsupervised change detection, ICIP,

25AP4A.2.

514. J. N. Provost, C. Collet, P. Pérez, and P. Bouthemy, A hierarchical unsupervised multispectral model to

segment spot images for ocean cartography, ICIP, 25PO3.3.

515. A. Ohkubo and K. Niijima, New supervised learning of neural networks for satellite image classification,

ICIP, 25PP3.2.

516. J. Gonsuegra and G. Cisneros, Integration of Gabor functions with co-occurrence matrices—Application

to woody crop location in remote sensing, ICIP, 26AP3.7.

517. B. K. Jeon, J. H. Jang, and K. S. Hong, Road detection in spaceborne SAR images based on ridge extraction,

ICIP, 26PP1.11.

518. P. Bolon, J. Chanussot, I. Issa, and P. Lambert, Comparison of prefiltering operators for road network

extraction in SAR images, ICIP, 26PP5.10.


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519. M. Cord and D. Declercq, Bayesian model identification: Application to building reconstruction in aerial

imagery, ICIP, 27AO2.5.

520. H. Jin, Y. Yaginuma, and M. Sakauchi, Detection of information relating to building object in news video,

ICIP, 27AP2.16.

521. O. Lavialle, F. Angella, and P. Baylou, Extension of the minimal path searching for structure recovery,

ICIP, 28AP5A.4.

522. A. Lorette, X. Descombes, and J. Zerubia, Texture analysis through Markov random fields: Urban areas

extraction, ICIP, 28AP5B.2.

D. COMPUTATIONAL TECHNIQUES

D.1. Architectures, etc.

523. Seventh Symposium on Frontiers of Massively Parallel Computation, Annapolis, MD, February 21–25,

1999.

524. S. Ong and M. H. Sunwoo, Implementation of sliding memory plane image processor, JPDC 55, 1998,

236–248.

525. L. Boxer, R. Miller, and A. Rau-Chaplin, Scalable parallel algorithms for geometric pattern recognition,

JPDC 58, 1999, 466–486.

526. N. G. Bourbakis and C. Alexopoulos, A fractal-based image processing language: Formal modeling, PR32, 1999, 317–338.

527. J. Soldek and R. Mantiuk, A reconfigurable processor based on FPGAs for pattern recognition, image

processing, analysis and synthesis of images, PRL 20, 1999, 667–674.

528. R. Clouard, A. Elmoataz, C. Porquet, and M. Revenu, Borg: A knowledge-based system for automatic

generation of image processing programs, T-PAMI 21, 1999, 128–144.

529. N. K. Ratha and A. K. Jain, Computer vision algorithms on reconfigurable logic arrays, T-PDS 10, 1999,

29–43.

530. R. Lin, S. Olariu, J. L. Schwing, and B. F. Wang, The mesh with hybrid buses: An efficient parallelarchitecture for digital geometry, T-PDS 10, 1999, 266–279.

D.2. Databases

531. M. M. Yeung, B. L. Yeo, and C. A. Bouman, Eds., Storage and Retrieval for Image and Video Databases

VII (San Jose, CA, January 26–29, 1999), Proc. SPIE 3656.

532. Third International Conference on Visual Information Systems, Amsterdam, The Netherlands, June 2–4,

1999.

533. S. Panchanathan, S. F. Chang, and C. C. J. Kuo, Eds., Multimedia Storage and Archiving Systems IV

(Boston, MA, September 20–22, 1999), Proc. SPIE 3846.

534. European Workshop on Content-Based Multimedia Indexing, Toulouse, France, October 25–27, 1999.

535. B. Perry, S. K. Chang, J. Dinsmore, D. Doermann, A. Rosenfeld, and S. Stevens, Content-Based Access to

Multimedia Information—From Technology Trends to State of the Art , Kluwer, Boston, 1999.

536. C. Leung, Ed., Special Issue: Content-Based Image Indexing and Retrieval, IVC 17(7), May 1999, 463–540.

537. A. Del Bimbo, V. Castelli, S. F. Chang, and C. S. Li, Eds., Special Issue on Content-Based Access to Image

and Video Libraries, CVIU 75(1–2), July–August 1999, 1–213.

538. H. D. Wactlar, M. G. Christel, Y. Gong, and A. G. Hauptmann, Lessons learned from building a terabyte

digital video library, Computer 32(2), 1999, 66–73.

539. D. Androutsos, K. N. Plataniotis, and A. N. Venetsanopoulos, A novel vector-based approach to color

image retrieval using a vector angular-based distance measure, CVIU 75, 1999, 46–58.

540. K. V. R. Kanth, D. Agrawal, A. El Abbadi, and A. Singh, Dimensionality reduction for similarity searching

in dynamic databases, CVIU 75, 1999, 59–72.


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541. S. Sclaroff, M. La Cascia, S. Sethi, and L. Taycher, Unifying textual and visual cues for content-based

image retrieval on the world wide web, CVIU 75, 1999, 86–98.

542. M. K. Mandal, T. Aboulnasr, and S. Panchanathan, Fast wavelet histogram techniques for image indexing,

CVIU 75, 1999, 99–110.

543. J. Peng, B. Bhanu, and S. Qing, Probabilistic feature relevance learning for content-based image retrieval,

CVIU 75, 1999, 150–164.

544. J. R. Smith and C. S. Li, Image classification and querying using composite region templates, CVIU 75,

1999, 165–174.

545. A. P. Berman and L. G. Shapiro, A flexible image database system for content-based retrieval, CVIU 75,

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