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Proceedings Paper

Three-dimensional articulated object recognition: a parallel approach
Author(s): Patrick S. P. Wang
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Paper Abstract

This paper deals with articulated objects, which are semi-deformable in that they can change shapes in part while maintaining each portion of the object rigid. The characteristics of articulated objects are more complicated than rigid ones. Representing and recognizing such objects by computers is more difficult. We propose a heuristic parallel method using the concept of coordinated graph, layered graph representation, and parallel pattern matching. The method is simple but robust, needs very few learning samples and can distinguish similar objects which are not distinguishable by other methods. It can be applied to a variety of interesting 3-D line-drawing objects for recognition, understanding, and description. Several illustrative examples are given in learning, representing, recognizing and describing states of various articulated objects.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131512
Show Author Affiliations
Patrick S. P. Wang, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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