Paper
6 June 1987 Connection Machine Vision Applications
David L. Waltz, Lewis W. Tucker
Author Affiliations +
Proceedings Volume 0758, Image Understanding and the Man-Machine Interface; (1987) https://doi.org/10.1117/12.940073
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David L. Waltz and Lewis W. Tucker "Connection Machine Vision Applications", Proc. SPIE 0758, Image Understanding and the Man-Machine Interface, (6 June 1987); https://doi.org/10.1117/12.940073
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KEYWORDS
Image processing

Algorithm development

Image segmentation

Machine vision

Computer vision technology

Computing systems

Object recognition

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