Paper
19 January 1995 Quasi-statistical approach to the problem of stereo-image matching
V. V. Mottl, A. V. Kopylov, A. B. Blinov, Sergey Yu. Zheltov
Author Affiliations +
Proceedings Volume 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94); (1995) https://doi.org/10.1117/12.199652
Event: Digital Image Processing and Computer Graphics: Fifth International Workshop, 1994, Samara, Russian Federation
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. V. Mottl, A. V. Kopylov, A. B. Blinov, and Sergey Yu. Zheltov "Quasi-statistical approach to the problem of stereo-image matching", Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); https://doi.org/10.1117/12.199652
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Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Ions

Image enhancement

Matrices

Mathematical modeling

Statistical analysis

Autoregressive models

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