Rotation, scaling, shift, and distortion-invariant target recognition

Chihwen Li; Chwan-Hwa Wu

doi:10.1117/12.139990

16 September 1992 Rotation, scaling, shift, and distortion-invariant target recognition

Chihwen Li, Chwan-Hwa Wu

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.139990
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

This model introduces rotation invariance into the Neocognitron model by way of rotation layers. The most likely orientation of the target is detected and used for further pattern classification using an algorithm similar to that for the Neocognitron model. The visual target recognition capability of this model is demonstrated.

Citation Download Citation

Chihwen Li and Chwan-Hwa Wu "Rotation, scaling, shift, and distortion-invariant target recognition", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.139990

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