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Proceedings Paper

Shape space object recognition
Author(s): Xiao Zhang; Jun Zhang; Gilbert G. Walter; A. Hamid Krim
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Paper Abstract

In this paper, we describe a shape space based approach for invariant object representation and recognition. In this approach, an object and all its similarity transformed versions are identified with a single point in a high-dimensional manifold called the shape space. Object recognition is achieved by measuring the geodesic distance between an observed object and a model in the shape space. This approach produced promising results in 2D object recognition experiments: it is invariant to similarity transformations and is relatively insensitive to noise and occlusion. Potentially, it can also be used for 3D object recognition.

Paper Details

Date Published: 22 October 2001
PDF: 12 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445391
Show Author Affiliations
Xiao Zhang, Univ. of Wisconsin/Milwaukee (United States)
Jun Zhang, Univ. of Wisconsin/Milwaukee (United States)
Gilbert G. Walter, Univ. of Wisconsin/Milwaukee (United States)
A. Hamid Krim, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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