Paper
1 November 1992 Three-dimensional articulated object recognition: a parallel approach
Patrick S. P. Wang
Author Affiliations +
Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131512
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick S. P. Wang "Three-dimensional articulated object recognition: a parallel approach", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131512
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Cited by 1 scholarly publication.
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KEYWORDS
Robots

Computer vision technology

Machine vision

3D image processing

3D modeling

Robot vision

Object recognition

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