Shape space object recognition

Xiao Zhang; Jun Zhang; Gilbert G. Walter; A. Hamid Krim

doi:10.1117/12.445391

22 October 2001 Shape space object recognition

Xiao Zhang, Jun Zhang, Gilbert G. Walter, A. Hamid Krim

Proceedings Volume 4379, Automatic Target Recognition XI; (2001) https://doi.org/10.1117/12.445391
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Xiao Zhang, Jun Zhang, Gilbert G. Walter, and A. Hamid Krim "Shape space object recognition", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445391

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