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Proceedings Paper

Heterogeneous parallel processor for a model-based vision system
Author(s): Andrew C. Segal
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Paper Abstract

Real time image processing/computer vision systems require high performance parallel architectures in order to achieve required data processing speeds. In this paper a real-time architecture is proposed for a specific class of model-based vision algorithms that recognize objects in radar images [Morgan 89]. The architecture is simulated and the results of the simulations are related to currently available parallel processors in order to estimate the performance on these systems. Not only does this architecture solve the radar object recognition problem it can also be generalized for similar image processing/computer vision algorithms.

Paper Details

Date Published: 1 March 1991
PDF: 14 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.25862
Show Author Affiliations
Andrew C. Segal, Univ. of Illinois/Chicago (United States)

Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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