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Proceedings Paper

3-D Object Recognition By Multiple-Contour Matching
Author(s): Hung-Tat Tsui; Kin -Cheong Chu; Ming-Hong Chan
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Paper Abstract

In this paper, we propose a method of recognition using depth map data directly. Particularly, the method is suitable for recognition of objects with irregular shape. A 3-D object is represented by a number of surface patches called subtemplates. The surface patches are extracted directly from the depth maps of the object using a rotational invariant spherical window of constant radius. To facilitate matching, a surface patch is represented by a number of closed contours formed by the intersections of concentric spheres of different radii with the patch. Experimental results are quite good and the method has been used sucessfully for the recognition of partially occluded 3D objects.

Paper Details

Date Published: 19 February 1988
PDF: 8 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942758
Show Author Affiliations
Hung-Tat Tsui, Chinese University of Hong Kong (United States)
Kin -Cheong Chu, Chinese University of Hong Kong (United States)
Ming-Hong Chan, Chinese University of Hong Kong (United States)


Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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