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Proceedings Paper

Matching with surface shape signatures
Author(s): Adnan A. Y. Mustafa
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Paper Abstract

Object identification by matching is a central problem in computer vision. A major issue that any object matching method must address is the ability to correctly match an object to its model when only a partial view of the object is visible due to occlusion or shadows (or any other reason). In this paper we introduce surface boundary signatures as an extension to our surface signature formulation. Boundary signatures are surface feature vectors that reflect the probability of occurrence of a surface boundary feature.

Paper Details

Date Published: 4 April 2001
PDF: 12 pages
Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); doi: 10.1117/12.420911
Show Author Affiliations
Adnan A. Y. Mustafa, Kuwait Univ. (Kuwait)

Published in SPIE Proceedings Vol. 4301:
Machine Vision Applications in Industrial Inspection IX
Martin A. Hunt, Editor(s)

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