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Proceedings Paper

Applications of the Connection Machine to Computer Vision
Author(s): William J. Wolfe; Gita Alaghband; Donald Mathis; Alan Baxter
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Paper Abstract

In this paper we discuss applications of the Connection Machine to various robot vision problems. In particular we investigate backpropagation used for terrain typing and as part of a model-based computer vision system. Mapping the backpropagation algorithm onto the fine grain architecture of the CM-2 is sketched. We discuss the interplay between data-level and control-level parallelism in model-based vision systems.

Paper Details

Date Published: 1 February 1990
PDF: 7 pages
Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); doi: 10.1117/12.969956
Show Author Affiliations
William J. Wolfe, University of Colorado at Denver (United States)
Gita Alaghband, University of Colorado at Denver (United States)
Donald Mathis, University of Colorado at Denver (United States)
Alan Baxter, University of Colorado at Denver (United States)


Published in SPIE Proceedings Vol. 1197:
Automated Inspection and High-Speed Vision Architectures III
Michael J. W. Chen, Editor(s)

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