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Proceedings Paper

Target recognition in parallel networks
Author(s): Raghu Raghavan; Frank W. Adams; H. T. Nguyen
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Paper Abstract

We describe the design of a target recognition system. The distinctive feature of this system is the integration of model-based and data-driven approaches to target recognition. This necessitates achievement of recognition through short-time behavior as opposed to longtime behavior of a dynamical system. The system also satisfies a list of natural requirements which includes locality of inferences (for efficient VLSI implementation) incorporation of prior knowledge multi-level hierarchies and iterative improvement. The architecture is uniformly parallel for low- and mid- as well as high-level vision. Robustness depends on collective effects rather than high precision of the processing elements. 1.

Paper Details

Date Published: 1 August 1990
PDF: 16 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21160
Show Author Affiliations
Raghu Raghavan, Lockheed Missiles and Space Co (United States)
Frank W. Adams, Lockheed Missiles and Space Co (United States)
H. T. Nguyen, Lockheed Missiles and Space Co (United States)


Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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