7/27/2019 CV CSC652 Course Outline 2013 Spring
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CSC652ADVANCED TOPICS IN COMPUTERVISION(CS-Elective, 3 Credit
Hours)Last updated: 23-Aug-13
Instructor: Prof. Dr. Zulfiqar Habib
Office: Room # C03
Email: [email protected]
Phone: 111-001-007 x 852
Time Table: http://www.ciitlahore.edu.pk/PL/timetable.aspx
Calendar:
http://www.ciitlahore.edu.pk/PL/semesterCalendar.aspx
Teaching Resources: http://zulfiqar.8m.com
TA: Not Available
Class Timetable 2013 SpringSection Start Date Mid End Date Final
Class Office Hours
MS/Ph.D. 04/02/13 After half # of lectures 30/05/13
03/06/13
to
15/06/13
Thu4:30-7:30
Room # C15
Tue, Thu
11am to 1pm
Other times by
appointment or
whenever available
in office
Text Books
[1]Szeliski R., Computer Vision - Algorithms and Applications,
Springer, 2011. (PDF is available)[2]Gonzalez R. C., Woods R. E.,
Eddins S. L., Digital Image Processing, Pearson Education, 3rd
edition, 2007.
Reference Books
[3]Gonzalez R. C., Woods R. E., Eddins S. L., Digital Image
Processing Using Matlab, PearsonEducation, 2
ndedition, 2009.
[4]Scott E. U., Computer Vision and Image Processing, Prentice
Hall, 1998.[5]Scott E. U., Computer Imaging, Taylor & Francis,
2005.[6]Gonzalez R. C., Woods R. E.,Digital Image Processing,
Pearson Education, 3rd edition, 2008.Web Links:
1. http://www.filecrop.com/ (Excellent source of books in PDF)2.
http://www.cs.cornell.edu/courses/cs6670/2009fa/lectures/lectures.html3.
http://www.cs.washington.edu/education/courses/cse576/08sp/CV
Online Demos:
(1)http://phototour.cs.washington.edu/(2)http://photosynth.com/(3)http://www.360tr.net/kudus/mescidiaksa_eng/index.html
mailto:[email protected]://www.ciitlahore.edu.pk/PL/timetable.aspxhttp://www.ciitlahore.edu.pk/PL/timetable.aspxhttp://www.ciitlahore.edu.pk/PL/semesterCalendar.aspxhttp://www.ciitlahore.edu.pk/PL/semesterCalendar.aspxhttp://zulfiqar.8m.com/http://www.filecrop.com/http://www.cs.cornell.edu/courses/cs6670/2009fa/lectures/lectures.htmlhttp://www.cs.washington.edu/education/courses/cse576/08sp/http://phototour.cs.washington.edu/http://phototour.cs.washington.edu/http://photosynth.com/http://photosynth.com/http://www.360tr.net/kudus/mescidiaksa_eng/index.htmlhttp://www.360tr.net/kudus/mescidiaksa_eng/index.htmlhttp://www.360tr.net/kudus/mescidiaksa_eng/index.htmlhttp://photosynth.com/http://phototour.cs.washington.edu/http://www.cs.washington.edu/education/courses/cse576/08sp/http://www.cs.cornell.edu/courses/cs6670/2009fa/lectures/lectures.htmlhttp://www.filecrop.com/http://zulfiqar.8m.com/http://www.ciitlahore.edu.pk/PL/semesterCalendar.aspxhttp://www.ciitlahore.edu.pk/PL/timetable.aspxmailto:[email protected]
7/27/2019 CV CSC652 Course Outline 2013 Spring
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Prerequisite(s)
Good programming skills or MatLab practice. Although not
officially required but students are preferred
to have either an image processing or a computer graphics course
as a prerequisite so that they can spendless time learning general
background and more time studying advanced techniques of computer
vision.
This course is suitable for students of CS, CE, and EE.
Description
Understanding images and videos is the subject of Computer
Vision. Computer Vision is a newly
emerging field aimed at exploring procedures, algorithms and
techniques that can help us in makingmachines that can "see".
Seeing something is not just capturing an image. It involves
interpreting and
understanding of the image, extracting meaningful information
from the captured data and analyzing
that information to take a lot of real life decisions. This
course is related with digital image processing,
computer graphics, artificial intelligence, robotics, data
visualization, geometric modeling, computeranimation, and machine
vision.
Course Outline
The main topics to be covered are human visual perception,
color, image formation & sensing, imagerepresentation, image
analysis, image restoration, image enhancement, segmentation,
feature extraction& analysis, morphology, object recognition,
and camera projection.
Objectives
This course is designed to give graduate students a very clear
understanding of computer vision and
digital image analysis. At the end of the course students are
expected the understanding of advancedcomputer vision techniques
for the solution of industrial problems and research issues. Main
objective is
to provide the sufficient background for thesis on computer
vision, like camera models and calibration,
motion analysis and tracking, image & video understanding,
etc.
Course Assessment
%age Remarks:
Assignment/Quiz 10 3 to 5 quizzes, no makeup/retake of any
quiz
Class
Participation5
Based on concentration, seriousness, active
participation in question/answer sessions, and well in
time submission of exercises.
Mid 25
Project 10 Group project
Final 50
Total 100 Minimum higher pass %age is 50
Note:
1. University rules & regulations will override the
provisions of this document and on any suchdisclosure, this
document will be modified immediately.
2. Students are welcomed to discuss subject problems even beyond
the class timings.3. Plagiarism (even self) or cheating in any of
the assignment, quiz, exam, and project would result in
an F gradein the course without any warning or notice.
7/27/2019 CV CSC652 Course Outline 2013 Spring
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Schedule (Tentative)
#Itemized Course Contents for
each LectureReadings
No. ofLectures
Lecture
Dates
1. Introduction SR-1 22. Digital Image Fundamentals &
use of MatlabGR-1, GR-2 2
3. Image formation SR-2 14. Human visual perception GR-2 15.
Color GR-6, SR-2, Research Papers 26. Image enhancement GR-3, SR-3
47. Morphological image processing GR-9, SR-3, Sample Project 58.
Image restoration GR-5, SR-3 29. Introduction of research &
industrial
projectshttp://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-demos.html
1
10. Image segmentation GR-10, SR-4, SR-5 211. Geometric
Transformation SR-2 212. Camera Projection/Calibration SR-2, SR-6
213. Vision Based Motion Planning
https://alliance.seas.upenn.edu/~meam620/wiki/index.php?n=TeyvoniaThomas2011.Final
114. Projects Evaluation 1
Total 28
SR (Szeliski R.), GR (Gonzalez R.)
Wish you all the best
http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-demos.htmlhttp://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-demos.htmlhttps://alliance.seas.upenn.edu/~meam620/wiki/index.php?n=TeyvoniaThomas2011.Finalhttps://alliance.seas.upenn.edu/~meam620/wiki/index.php?n=TeyvoniaThomas2011.Finalhttps://alliance.seas.upenn.edu/~meam620/wiki/index.php?n=TeyvoniaThomas2011.Finalhttps://alliance.seas.upenn.edu/~meam620/wiki/index.php?n=TeyvoniaThomas2011.Finalhttp://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-demos.htmlhttp://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-demos.html
