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Proceedings Paper

Techniques in biologically inspired computational vision
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Paper Abstract

The challenge of effectively focusing a large array of vision system in time-constrained and uncertain environments is a daunting challenge. The biology provides us some clues as higher-level organisms routinely accomplish complex tasks through iterative learning and invariance processing. In this talk, we discuss the present state-of-the-art in biological vision and recent computing models for recognition. We investigate invariance processing and reinforcement learning as some of the key ingredients for such computing. We present few implementations of these novel computing concepts.

Paper Details

Date Published: 19 May 2005
PDF: 11 pages
Proc. SPIE 5781, Optics and Photonics in Global Homeland Security, (19 May 2005); doi: 10.1117/12.609115
Show Author Affiliations
Khan M. Iftekharuddin, The Univ. of Memphis (United States)


Published in SPIE Proceedings Vol. 5781:
Optics and Photonics in Global Homeland Security
Theodore T. Saito, Editor(s)

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