Three-dimensional articulated object recognition: a parallel approach
Patrick S. P. Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
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.