A Modern Approach to Intelligent Animation: Theory and Practice

by Zhuang, Yueting; Pan, Yunhe; Xiao, Jun

• ISBN13: 9783540737599
• ISBN10: 3540737596
• Format: Hardcover
• Copyright: 2008-10-10
• Publisher: Springer-Verlag New York Inc

Summary

Part of the new series, Advanced Topics in Science and Technology in China, this book discusses concepts, theory, and core technologies of intelligent theory and human animation, including video based human animation, and intelligent technology of motion data management and reusing. It introduces systems developed to demonstrate the technologies of video based animation. Each chapter is independent. Lively pictures and demos will be presented to make the theory and technologies more understandable. For researchers, this is a reference book and an update on the current status of human animation. For professionals, this is a guide for application development using human animation technologies. Yueting Zhuang received his PhD in Computer Science from Zhejiang University (1998). From 1997 to 1998, he was a visiting scholar at Beckman Institute, U. of Illinois, Urbana-Champaign. Now he is professor and vice dean of the College of Computer Science at Zhejiang University.

Author Biography

Yueting Zhuang received his PhD degree from the Department of Computer Science at Zhejiang University (1998). From 1997 to 1998, he studied as a visiting scholar at the Department of Computer Science and Beckman Institute, University of Illinois at Urbana-Champaign. Now he is the professor and vice dean of the College of Computer Science, Zhejiang University. He has published more than 100 papers in international renowned journals and conferences, topics including computer animation, graphics, multimedia analysis and retrieval. And he has been the PIs of several NSF China projects, 863-high tech projects, National 7th-5 and 8th-5 projects. As one of the key members, he was awarded the second prize by State Science & Technology Commission of China in year 1993, 2004 respectively and first prize by Chinese Academy of Sciences in October, 1992.

Table of Contents

Introduction	p. 1
Traditional Computer Animation Techniques	p. 1
Key-frame Animation	p. 1
Articulated Animation	p. 3
Facial Expression Animation	p. 7
Motion Capture Based Animation Techniques	p. 8
Definition of Motion Capture	p. 8
Introduction of Motion Capture Techniques	p. 9
Summarization	p. 10
Motion Editing and Reuse Techniques	p. 12
Key-frame Editing	p. 12
Motion Warping	p. 13
Per-frame Editing	p. 13
Per-frame Motion Editing Combing Filters	p. 14
Spatio-temporal Constraint Based Motion Editing	p. 14
Physical Property Based Motion Editing	p. 16
Data-driven Animation Techniques	p. 16
Data Synthesis Oriented Character Animation	p. 16
Environment Sensitive Character Animation	p. 18
Intelligent Animation	p. 19
Characteristics and Requirements of Intelligent Animation	p. 19
Overview of Video-based Intelligent Animation Techniques	p. 20
References	p. 22
Natural Video-based Human Motion Capture	p. 28
Human Motion Capture Based on Feature Tracking	p. 29
Human Skeleton Model	p. 30
Feature Tracking in 2D Image Sequence	p. 31
Reconstruction of 3D Human Motion Sequence	p. 35
VBHAS V1.0	p. 40
Discussions	p. 46
Human Motion Capture Based on Silhouette	p. 46
Overview	p. 46
Silhouette Extraction and Analysis	p. 47
Pose Recovery	p. 50
Motion Recovery	p. 52
Results	p. 54
Discussions	p. 55
References	p. 57
Human Motion Capture Using Color Markers	p. 59
Tracking Color Markers	p. 59
Human Model and Color Space	p. 60
Kalman Filter	p. 61
Edge Detection and Edge Extraction	p. 61
Rectangle Construction	p. 64
Block Matching Algorithm	p. 66
3D Recovery of Human Motion Data	p. 67
Two-step Calibration	p. 67
Selection of Start Points	p. 69
Solving for Other Joints	p. 71
Case Studies: VBHAS V2.0	p. 73
Results of Human Motion Tracking	p. 73
Results of Human Motion 3D Reconstruction	p. 75
References	p. 75
Two-camera-based Human Motion Capture	p. 77
Human Model	p. 77
Human Motion Feature Tracking	p. 78
Feature Tracking Algorithms Based on Kalman Filter and Epipolar Constraint	p. 78
Feature Tracking Based on Attribute Quantification	p. 84
Incomplete Motion Feature Tracking Algorithm in Video Sequences	p. 92
Human Motion Tracking in Video via HMM	p. 99
3D Motion Reconstruction	p. 102
Tsai Single Camera Linear Calibration Algorithm	p. 103
Nonlinear and Non-coplanar Calibration Model	p. 105
3D Reconstruction of Motion Sequences	p. 106
Case Studies: VBHAS V3.0	p. 108
Camera Calibration	p. 110
Feature Tracking	p. 110
3D Reconstruction	p. 115
References	p. 117
Video-based Facial Animation Techniques	p. 119
Facial Expression Hallucination	p. 120
Image-based Facial Expression Hallucination	p. 120
Video-based Facial Expression Hallucination	p. 131
Video-based Facial Expression Capture	p. 141
Multiple Facial Feature Tracking Based on Bayesian Network Enhanced Prediction Model	p. 141
Multiple Facial Feature Tracking Based on Probability Graph Model	p. 153
3D Facial Expression Reconstruction	p. 160
Video-based Human Face Modeling Techniques	p. 168
Dimensionality Reduction by LLE	p. 168
Active Shape Model (ASM) and Active Appearance Model (AAM)	p. 169
3D Face Modeling	p. 170
Constraint-based Texture Mapping	p. 172
Results and Discussions	p. 173
Facial Expression Driven Technique	p. 174
Data Driven Facial Animation	p. 175
Bayesian Regression	p. 179
Results and Discussions	p. 181
References	p. 183
Intelligent Techniques for Processing and Management of Motion Data	p. 185
Automatic Segmentation of 3D Human Motion Data into Primitive Actions	p. 186
Overview of Motion Data Segmentation	p. 186
An Automatic 3D Human Motion Data Segmentation Approach Based on Non-linear Dimensionality Reduction	p. 187
Results and Discussions	p. 193
Motion Data Abstraction	p. 197
Overview of Motion Key-frame Extraction	p. 197
Key-frame Extraction from MoCap Data Based on Layered Curve Simplification Algorithm	p. 199
Results and Discussions	p. 207
Motion Data Retrieval	p. 214
Motion Index Tree	p. 215
Content-based Motion Retrieval	p. 220
Results and Discussions	p. 221
References	p. 226
Intelligent Motion Data Reusing Techniques	p. 229
3D Motion Editing and Synthesis Based on Wavelet Transform	p. 229
Hierarchical Motion Description	p. 229
Motion Signal Analysis by Wavelet	p. 230
3D Motion Analysis and Synthesis Based on Wavelet Transform	p. 231
Management of Motion Reality	p. 235
Results	p. 237
Motion Graph Modeling Based on Markov Chain	p. 240
Motion Graph Building	p. 241
3D Motion Generation Based on Motion Graph	p. 245
Results	p. 251
Automatic Synthesis and Editing of Motion Styles	p. 255
Motion Data Preprocessing	p. 256
Motion Synthesis and Editing Algorithm for Single Style Component	p. 257
Motion Synthesis and Editing Algorithm for Multiple Style Components	p. 258
Results and Discussions	p. 261
References	p. 265
Intelligent Techniques for Character Animation	p. 267
Multiple Animated Characters Motion Fusion	p. 269
Architecture of Multiple Animated Characters Motion Fusion	p. 269
Collaboration of Multiple Animated Characters	p. 271
Solving Continuous Motions	p. 274
Motion Rectification	p. 278
Results and Discussions	p. 279
A Script Engine for Realistic Human Motion Generation	p. 282
Motion Database Setup	p. 283
Motion Script	p. 285
Motion Generation	p. 286
Results and Discussions	p. 288
Automatic Generation of Human Animation Based on Motion Programming	p. 291
Overview	p. 292
Roadmap Generation	p. 294
Route Planning	p. 296
Interaction and Optimization	p. 297
Motion Acquisition	p. 299
Animation Generation	p. 303
Results and Discussions	p. 303
References	p. 305
Index	p. 307
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