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E-grāmata: Modern Approach to Intelligent Animation: Theory and Practice

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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 a full professor of the College of Computer Science at Zhejiang University. His research area is intelligent animation, multimedia technologies. Yunhe Pan was the President of Zhejiang University from 1995 to 2006. Now he is the Vice-President of the Chinese Academy of Engineering. His current research area includes intelligent human animation, digital library, and other related topics.

This book discusses the 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. Lively pictures and demos throughout the text help make the theory and technologies more accessible to readers.
Introduction
1(27)
Traditional Computer Animation Techniques
1(7)
Key-frame Animation
1(2)
Articulated Animation
3(4)
Facial Expression Animation
7(1)
Motion Capture Based Animation Techniques
8(4)
Definition of Motion Capture
8(1)
Introduction of Motion Capture Techniques
9(1)
Summarization
10(2)
Motion Editing and Reuse Techniques
12(4)
Key-frame Editing
12(1)
Motion Warping
13(1)
Per-frame Editing
13(1)
Per-frame Motion Editing Combing Filters
14(1)
Spatio-temporal Constraint Based Motion Editing
14(2)
Physical Property Based Motion Editing
16(1)
Data-driven Animation Techniques
16(3)
Data Synthesis Oriented Character Animation
16(2)
Environment Sensitive Character Animation
18(1)
Intelligent Animation
19(9)
Characteristics and Requirements of Intelligent Animation
19(1)
Overview of Video-based Intelligent Animation Techniques
20(2)
References
22(6)
Natural Video-based Human Motion Capture
28(31)
Human Motion Capture Based on Feature Tracking
29(17)
Human Skeleton Model
30(1)
Feature Tracking in 2D Image Sequence
31(4)
Reconstruction of 3D Human Motion Sequence
35(5)
VBHAS V1.0
40(6)
Discussions
46(1)
Human Motion Capture Based on Silhouette
46(13)
Overview
46(1)
Silhouette Extraction and Analysis
47(3)
Pose Recovery
50(2)
Motion Recovery
52(2)
Results
54(1)
Discussions
55(2)
References
57(2)
Human Motion Capture Using Color Markers
59(18)
Tracking Color Markers
59(8)
Human Model and Color Space
60(1)
Kalman Filter
61(1)
Edge Detection and Edge Extraction
61(3)
Rectangle Construction
64(2)
Block Matching Algorithm
66(1)
3D Recovery of Human Motion Data
67(6)
Two-step Calibration
67(2)
Selection of Start Points
69(2)
Solving for Other Joints
71(2)
Case Studies: VBHAS V2.0
73(4)
Results of Human Motion Tracking
73(2)
Results of Human Motion 3D Reconstruction
75(1)
References
75(2)
Two-camera-based Human Motion Capture
77(42)
Human Model
77(1)
Human Motion Feature Tracking
78(24)
Feature Tracking Algorithms Based on Kalman Filter and Epipolar Constraint
78(6)
Feature Tracking Based on Attribute Quantification
84(8)
Incomplete Motion Feature Tracking Algorithm in Video Sequences
92(7)
Human Motion Tracking in Video via HMM
99(3)
3D Motion Reconstruction
102(6)
Tsai Single Camera Linear Calibration Algorithm
103(2)
Nonlinear and Non-coplanar Calibration Model
105(1)
3D Reconstruction of Motion Sequences
106(2)
Case Studies: VBHAS V3.0
108(11)
Camera Calibration
110(1)
Feature Tracking
110(5)
3D Reconstruction
115(2)
References
117(2)
Video-based Facial Animation Techniques
119(66)
Facial Expression Hallucination
120(21)
Image-based Facial Expression Hallucination
120(11)
Video-based Facial Expression Hallucination
131(10)
Video-based Facial Expression Capture
141(27)
Multiple Facial Feature Tracking Based on Bayesian Network Enhanced Prediction Model
141(12)
Multiple Facial Feature Tracking Based on Probability Graph Model
153(7)
3D Facial Expression Reconstruction
160(8)
Video-based Human Face Modeling Techniques
168(6)
Dimensionality Reduction by LLE
168(1)
Active Shape Model (ASM) and Active Appearance Model (AAM)
169(1)
3D Face Modeling
170(2)
Constraint-based Texture Mapping
172(1)
Results and Discussions
173(1)
Facial Expression Driven Technique
174(11)
Data Driven Facial Animation
175(4)
Bayesian Regression
179(2)
Results and Discussions
181(2)
References
183(2)
Intelligent Techniques for Processing and Management of Motion Data
185(44)
Automatic Segmentation of 3D Human Motion Data into Primitive Actions
186(11)
Overview of Motion Data Segmentation
186(1)
An Automatic 3D Human Motion Data Segmentation Approach Based on Non-linear Dimensionality Reduction
187(6)
Results and Discussions
193(4)
Motion Data Abstraction
197(17)
Overview of Motion Key-frame Extraction
197(2)
Key-frame Extraction from MoCap Data Based on Layered Curve Simplification Algorithm
199(8)
Results and Discussions
207(7)
Motion Data Retrieval
214(15)
Motion Index Tree
215(5)
Content-based Motion Retrieval
220(1)
Results and Discussions
221(5)
References
226(3)
Intelligent Motion Data Reusing Techniques
229(38)
3D Motion Editing and Synthesis Based on Wavelet Transform
229(11)
Hierarchical Motion Description
229(1)
Motion Signal Analysis by Wavelet
230(1)
3D Motion Analysis and Synthesis Based on Wavelet Transform
231(4)
Management of Motion Reality
235(2)
Results
237(3)
Motion Graph Modeling Based on Markov Chain
240(15)
Motion Graph Building
241(4)
3D Motion Generation Based on Motion Graph
245(6)
Results
251(4)
Automatic Synthesis and Editing of Motion Styles
255(12)
Motion Data Preprocessing
256(1)
Motion Synthesis and Editing Algorithm for Single Style Component
257(1)
Motion Synthesis and Editing Algorithm for Multiple Style Components
258(3)
Results and Discussions
261(4)
References
265(2)
Intelligent Techniques for Character Animation
267(40)
Multiple Animated Characters Motion Fusion
269(13)
Architecture of Multiple Animated Characters Motion Fusion
269(2)
Collaboration of Multiple Animated Characters
271(3)
Solving Continuous Motions
274(4)
Motion Rectification
278(1)
Results and Discussions
279(3)
A Script Engine for Realistic Human Motion Generation
282(9)
Motion Database Setup
283(2)
Motion Script
285(1)
Motion Generation
286(2)
Results and Discussions
288(3)
Automatic Generation of Human Animation Based on Motion Programming
291(16)
Overview
292(2)
Roadmap Generation
294(2)
Route Planning
296(1)
Interaction and Optimization
297(2)
Motion Acquisition
299(4)
Animation Generation
303(1)
Results and Discussions
303(2)
References
305(2)
Index 307
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.
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