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Proceedings Paper

Quasi-statistical approach to the problem of stereo-image matching
Author(s): V. V. Mottl; A. V. Kopylov; A. B. Blinov; Sergey Yu. Zheltov
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Paper Abstract

The problem of processing two gray-level images forming a stereo pair is considered on the basis of treating the sought-for disparity map and the original image pair as, respectively, the hidden and the observable constituent of a two-component random field with known probabilistic properties. The stereo matching algorithm resulting from such an approach is actually a version of the classical random field interpolation procedure with some alterations aimed at the attainment of a higher computation speed. The specificity of the stereo matching problem among random field interpolation problems of general kind is carried by a special a priori model that allows for taking into account all the usual constraints posed upon the disparity map by the geometric projection laws.

Paper Details

Date Published: 19 January 1995
PDF: 12 pages
Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); doi: 10.1117/12.199652
Show Author Affiliations
V. V. Mottl, Tula State Technical Univ. (Russia)
A. V. Kopylov, Tula State Technical Univ. (Russia)
A. B. Blinov, Tula State Technical Univ. (Russia)
Sergey Yu. Zheltov, State Research Institute of Aviation Systems (Russia)


Published in SPIE Proceedings Vol. 2363:
5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94)
Nikolai A. Kuznetsov; Victor A. Soifer, Editor(s)

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