Target recognition in parallel networks

Raghu Raghavan; Frank W. Adams Jr.; H. T. Nguyen

doi:10.1117/12.21160

1 August 1990 Target recognition in parallel networks

Raghu Raghavan, Frank W. Adams Jr., H. T. Nguyen

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21160
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

Raghu Raghavan, Frank W. Adams Jr., and H. T. Nguyen "Target recognition in parallel networks", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21160

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