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Proceedings Paper

Early vision network for a moving eye: dynamic contrast and motion detection
Author(s): Peter N. Prokopowicz; Paul R. Cooper
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Paper Abstract

We present a biologically-inspired early vision network that is well-suited to highly active and responsive vision platforms. The network exploits normally undesirable camera motion as a necessary step in detecting image contrast. It also detects visual motion, producing distinctive signals from which useful image motion parameters are extracted. The network remains sensitive over a very wide dynamic range of inputs, and has self-calibrating properties that make it amenable to analog VLSI implementation. The results also support the hypothesis that vertebrate cones function primarily as detectors of contrast and motion, rather than intensity. Experiments verify that naturally occurring jitter in a motor-mounted camera, instead of being avoided, can be exploited in early visual processing.

Paper Details

Date Published: 2 September 1993
PDF: 12 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152528
Show Author Affiliations
Peter N. Prokopowicz, Northwestern Univ. (United States)
Paul R. Cooper, Northwestern Univ. (United States)

Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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