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
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