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Proceedings Paper

Receptive Fields And Visual Representations
Author(s): Andrew B. Watson
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Paper Abstract

Efficient representation of images for human use requires an understanding of how the brain processes and represents visual information. Spatial imagery is represented in the brain in the receptive fields of visual neurons. Models of these neurons lead to models of image fidelity, and to digital implementations of these neural codes. This approach will be illustrated by two example codes. The advantages and difficulties of this approach will be discussed.

Paper Details

Date Published: 15 August 1989
PDF: 8 pages
Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); doi: 10.1117/12.952717
Show Author Affiliations
Andrew B. Watson, NASA Ames Research Center (United States)

Published in SPIE Proceedings Vol. 1077:
Human Vision, Visual Processing, and Digital Display
Bernice E. Rogowitz, Editor(s)

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