Heterogeneous parallel processor for a model-based vision system

Andrew C. Segal

doi:10.1117/12.25862

1 March 1991 Heterogeneous parallel processor for a model-based vision system

Andrew C. Segal

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25862
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

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.

Citation Download Citation

Andrew C. Segal "Heterogeneous parallel processor for a model-based vision system", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25862

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