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Proceedings Paper

Connection Machine Vision Applications
Author(s): David L. Waltz; Lewis W. Tucker
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Paper Abstract

Image processing places enormous computational demands on current computer systems and in part motivates the design of fine-grained, massively parallel machines. While several architectures have been proposed for image applications, the approach taken with the Connection Machine has been to use a very large number of simple processors, each with a small amount of local memory, and each capable of communicating in an efficient manner with all other processors. In this report, we give our experience with the Connection Machine on a number of computer vision and vision related problems.

Paper Details

Date Published: 6 June 1987
PDF: 4 pages
Proc. SPIE 0758, Image Understanding and the Man-Machine Interface, (6 June 1987); doi: 10.1117/12.940073
Show Author Affiliations
David L. Waltz, Thinking Machines Corporation (United States)
Lewis W. Tucker, Thinking Machines Corporation (United States)


Published in SPIE Proceedings Vol. 0758:
Image Understanding and the Man-Machine Interface
Eamon B. Barrett; James J. Pearson, Editor(s)

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