Improving classification of neural networks by reducing lens aperture

Inna Stainvas; Zeev Zalevsky; David Mendlovic; Nathan Intrator

doi:10.1117/12.453545

6 December 2002 Improving classification of neural networks by reducing lens aperture

Inna Stainvas, Zeev Zalevsky, David Mendlovic, Nathan Intrator

Proceedings Volume 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V; (2002) https://doi.org/10.1117/12.453545
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Image blur strongly degrades object recognition. We propose a mechanism to reduce defocus blur by reducing the aperture of the camera lens, and show that it leads to a far more robust recognition. The recognition is demonstrated via a Neural Network architecture that we have previously proposed for blurred face recognition.

Citation Download Citation

Inna Stainvas, Zeev Zalevsky, David Mendlovic, and Nathan Intrator "Improving classification of neural networks by reducing lens aperture", Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); https://doi.org/10.1117/12.453545

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