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Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7 Ming Ouhyoung Fu-Che Wu, Wan-Chun Ma, Communication and Multimedia Lab Dept. of Computer Science and Info rmation Engineering, National Taiwan University

Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

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Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7. Ming Ouhyoung Fu-Che Wu, Wan-Chun Ma, Communication and Multimedia Lab Dept. of Computer Science and Information Engineering, National Taiwan University. Previous Collaboration: MPEG-4 Based. - PowerPoint PPT Presentation

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Page 1: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Skeleton Extraction of 3D Objects by Radial Basis

Functions for Content-based Retrieval in MPEG-7

Ming Ouhyoung

Fu-Che Wu, Wan-Chun Ma,

Communication and Multimedia Lab

Dept. of Computer Science and Information Engineering,

National Taiwan University

Page 2: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Previous Collaboration: MPEG-4 Based

• French Driven Talking Head and Lip Motion Analysis

• Realistic 3D Facial Animation Parameters from Mirror-Reflected Multi-view Video

• MPEG-4 Based

• Demo of the above ( ananova,anim2, track)

Page 3: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

MPEG-4 to MPEG-7 Transition

• A New 3 Year Collaborative Project in Multimedia Lab, National Taiwan University

• Skeleton Extraction of 3D Objects for Content-based Retrieval in MPEG-7

Page 4: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7
Page 5: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Search

results

Sim

ilarity

Target model

3D Object Retrieval

• 445 3D obejcts• http://3dsite.dhs.org/~dynamic

Page 6: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Part 1: 3D Object Retrieval

• For each vertex of the object, calculate a sum of the geodesic distance from this vertex to others

• Get a Reeb graph, where each node represents a region according to the value

• The similarity of two objects is calculated using area and length of the node of their Reeb graph

Page 7: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Previous Work• Masaki Hilaga, Yoshihisa Shinagawa, Taku Kohmura

and Tosiyasu L. Kunii, “Topology Matching for Fully Automatic Similarity Estimation of 3D Shapes”, Proceedings of ACM SIGGRAPH, 2001.

• Robert Osada, Thomas Funkhouser, Bernard Chazelle and David Dobkin “Matching 3D Models with Shape Distributions”, Proceedings of Workshop on Shape-Based Retrieval and Analysis of 3D Models, Princeton, USA, Oct. 2001.

Page 8: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Previous Work

• Christopher M. Cyr and Benjamin B. Kimia, “3D Object Recognition Using Shape Similiarity-Based Aspect Graph”, 2001.

• Michael Elad, Ayellet Tal and Sigal Ar, “Content Based Retrieval of VRML Objects – A Iterative and Interactive Approach”, 2001

Page 9: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Using a skeletal structure of a 3D shape as a search key

• Reeb graph– Always consists of a one-dimensional graph structure

– Invariant to translation, rotation and scaling

– Robust against connectivity changes caused by simplification, subdivision and remesh

– Resistant against noise and certain changes due to deformation

– Introduce a multiresolutional structure

Page 10: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Geodesic distance

• The distance from point to point on a surface (the length of shortest path)

• Lazarus et al. proposed a level set diagram (LSD) structure in which geodesic distance from a source point is used as the function µ

Page 11: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

3D Object Retrieval

• The approach represents the skeletal and topological structure of a 3D object

• Search 3D object automatically and quickly• Robust against translation, rotation, scaling, simpli

fication, subdivision, noise, deformation• Demo

– http://3dsite.dhs.org/~dynamic– 445 objects in the database– 0.08 sec for comparing two objects on the average

Page 12: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Search

results

Sim

ilarity

Target model

3D Object Retrieval

• 445 3D obejcts• http://3dsite.dhs.org/~dynamic

Page 13: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7
Page 14: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7
Page 15: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7
Page 16: Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Skeletal Representation by Radial Basis Function

• Improvements over Multi-resolution Reeb Graph: not exactly a skeleton of mesh models

• How about Medial Axis Transformation Representation?

• Skip to part 2 slides