DocumentCode
2585531
Title
Towards a computational theory of model based vision and perception
Author
Shvaytser, Haim
Author_Institution
David Sarnoff Res. Center, Princeton, NJ, USA
fYear
1990
fDate
4-7 Dec 1990
Firstpage
283
Lastpage
286
Abstract
When given partial data, a model based approach requires that pictures consistent with the model are chosen as plausible interpretations of the data. The author presents a computational theory that relates degrees of freedom in such models to the number of pixels that carry useful information. It is shown that in models with a finite number of degrees of freedom it is always possible to find a consistent interpretation from a finite number of pixels
Keywords
computer vision; computerised pattern recognition; computerised picture processing; computational theory; degrees of freedom; model based vision; partial data; perception; pictures; pixels; plausible interpretations; Cleaning; Computational modeling; Computer vision; Filtering; Layout; Noise level; Psychology; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location
Osaka
Print_ISBN
0-8186-2057-9
Type
conf
DOI
10.1109/ICCV.1990.139531
Filename
139531
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