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Proceedings Paper

Incorporating Content Addressable Array Processors Into Computer Vision Systems
Author(s): Charles Weems; Daryl T. Lawton
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Paper Abstract

A design is presented for a Content Addressable Array Parallel Processor (CAAPP) which is both practical and feasible. Its practicality stems from an extensive program of research into real applications of content addressability and parallelism. The feasibility of the design stems from development under a set of conservative engineering constraints tied to limitations of VLSI technology. We then describe various procedures for image processing on the CAAPP. The first performs image convolutions very quickly. It is shown that this algorithm can be generalized to perform convolutions with increased mask size with only a moderate reduction in speed. The second uses the CAAPP to quickly and robustly decompose an optic flow field into its rotational and translational components to recover sensor motion parameters. We also briefly describe techniques for associating symbolic descriptions with extracted image structures in the CAAPP.

Paper Details

Date Published: 9 January 1984
PDF: 13 pages
Proc. SPIE 0435, Architectures and Algorithms for Digital Image Processing, (9 January 1984); doi: 10.1117/12.936986
Show Author Affiliations
Charles Weems, University of Massachusetts (United States)
Daryl T. Lawton, University of Massachusetts (United States)

Published in SPIE Proceedings Vol. 0435:
Architectures and Algorithms for Digital Image Processing
Per-Erik Danielsson; Andre J. Oosterlinck, Editor(s)

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