DocumentCode :
3206662
Title :
Recovery of hierarchical part structure of 3-D shape from range image
Author :
Sato, Yoshinobu ; Ohya, Jun ; Ishii, Kenichiro
Author_Institution :
NTT Human Interface Labs., Kanagawa, Japan
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
699
Lastpage :
702
Abstract :
A formulation of the part decomposition problem motived by the minimum-description-length (MDL) criteria is presented. Unlike previous MDL approaches which use analytic functions, a general geometric constraint, convexity, is used as a part constraint. Therefore, the method is suitable for complex natural shapes such as human faces. The recovery process consists of a bottom-up grouping process and a subsequent optimization process based on the MDL criteria. The definite causal relations of part structure between different sensitivity levels are used to recover the hierarchy of part structure. Part decomposition experiments involving real 3-D range images are reported
Keywords :
computer vision; image segmentation; optimisation; 3-D range images; 3-D shape; bottom-up grouping; causal relations; complex natural shapes; convexity; geometric constraint; hierarchical part structure; human faces; minimum-description-length; optimization; part constraint; part decomposition problem; sensitivity levels; Computer vision; Educational institutions; Geometry; Greedy algorithms; Humans; Image segmentation; Noise shaping; Optimization methods; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223197
Filename :
223197
Link To Document :
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