Motion estimation of elastic articulated objects from points and contours with volume invariable constraint

被引：0
|
作者：
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai, 200030, China [1 ]
机构：
来源：
Pattern Recogn. | 2008年 / 2卷 / 458-467期
基金：
中国国家自然科学基金;
关键词：
Constraint theory - Image analysis - Mathematical models - Object recognition - Three dimensional computer graphics;
D O I：
10.1016/j.patcog.2007.06.025
中图分类号：
学科分类号：
摘要：
This paper presents a model of elastic articulated objects based on revolving conic surface and a method of model-based motion estimation. The model includes 3D object skeleton and deformable surfaces that can represent the deformation of human body surfaces. In each limb, surface deformation is represented by adjusting one or two deformation parameters. Then, the 3D deformation parameters are determined by corresponding 2D image points and contours with volume invariable constraint from a sequence of stereo images. The 3D motion parameters are estimated based on the 3D model. The algorithm presented in this paper includes model-based parameter estimation of motion and parameter determination of deformable surfaces. © 2007 Pattern Recognition Society.
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