DocumentCode :
3207294
Title :
Hierarchical decomposition and axial shape description
Author :
Rom, Hillel ; Medioni, Gérard
Author_Institution :
Inst. for Robot. & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
49
Lastpage :
55
Abstract :
The problem of obtaining intuitive descriptions of planar shapes is addressed. In particular, a method for producing a segmented axial description of a given shape together with a hierarchical decomposition of the shape into its parts is suggested. Smooth local symmetries are used for the axial description of parts. Parallel symmetries are used to provide information on global relationships within the shape. It is assumed that the shape is a closed planar curve. The approach uses both region and contour information, can handle shapes with corners, and addresses the issues of local versus global information, the issue of scale and the notion of part. The method is computationally efficient, robust, and stable. Results showing that it provides an intuitive shape description are presented
Keywords :
computer vision; B-spline approximation; axial shape description; closed planar curve; contour information; corners; global relationships; hierarchical decomposition; parallel symmetries; planar shapes; scale; segmented axial description; shape decomposition; smooth local symmetries; History; Humans; Intelligent robots; Intelligent systems; Machine intelligence; Read only memory; Robustness; Shape; Skeleton; US Government;
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.1992.223228
Filename :
223228
Link To Document :
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