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Proceedings Paper

Generalization of the problem of correspondence in long-range motion and the proposal for a solution
Author(s): Norman A. Stratton; Lucia M. Vaina
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Paper Abstract

One of the fundamental problems in vision is the problem of finding the correspondence between two images. This paper addressed this problem in terms of a computational model consistent with existing models of human vision and human visual psychophysics. At the heart of the model is a multi-dimensional internal representation of the input image. We propose that correspondence may be computed by minimizing the total, non- euclidean distance between corresponding elements. A backpropagation programmed neural network is used to investigate the nature of the internal representation.

Paper Details

Date Published: 1 March 1991
PDF: 10 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45464
Show Author Affiliations
Norman A. Stratton, Boston Univ. (United States)
Lucia M. Vaina, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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