RECOVERY OF NONRIGID MOTION AND STRUCTURE

被引：174
作者：
PENTLAND, A
HOROWITZ, B
机构：
[1] Vision and Modeling Group, The Media Lab Massachusetts Institute of Technology, Cambridge
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1991年 / 13卷 / 07期
关键词：
DEFORMABLE MODELS; FINITE ELEMENT METHOD; KALMAN FILTERING; MODAL ANALYSIS; MOTION PROCESSING; NONRIGID MOTION; PHYSICALLY BASED MODELING; SHAPE REPRESENTATION; 3-D SHAPE RECOVERY; 3-D TRACKING;
D O I：
10.1109/34.85661
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The elastic properties of real materials provide constraint on the types of nonrigid motion that can occur, and thus allow overconstrained estimates of 3-D nonrigid motion from optical flow data. We show that by modeling and simulating the physics of nonrigid motion we can obtain good estimates of both object shape and velocity. Examples using grey scale and X-ray imagery are presented, including an example of tracking a complex articulated figure.
引用
收藏
页码：730 / 742
页数：13
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