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Proceedings Paper

Lie group approach to neural computation of image affine flow and binocular affine disparity
Author(s): Thomas R. Tsao
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Paper Abstract

A computational theory and neural architecture for determining image affine flow and binocular affine disparity is presented. The computation of image affine flow is formulated as a system of linear equations, and the computation of binocular affine disparity is formulated as a dynamical system defined on the parameter space of a Lie subgroup of the 2D affine Lie group. The proposed neural architecture includes a set of neurons called the Lie-germs which function as the Lie-derivative operators, a set of simple cells with dynamical receptive fields, a set of intrinsic neurons that can affine transform the receptive fields of simple cells, and an analog circuit for determining affine parameters. The result of computer simulations of the proposed neural architecture for binocular affine disparity is also presented in this paper.

Paper Details

Date Published: 16 June 1995
PDF: 12 pages
Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); doi: 10.1117/12.211987
Show Author Affiliations
Thomas R. Tsao, CompuSensor Technologies Corp. (United States)


Published in SPIE Proceedings Vol. 2488:
Visual Information Processing IV
Friedrich O. Huck; Richard D. Juday, Editor(s)

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