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Abstract: Vision researchers have advocated the integration of vision modules. However, generic system integration issues for recovering 3D information have not been adequately addressed in the literature. We propose a unified Bayesian integration framework for interactions among the vision modules to obtain a complete 3D reconstruction from a pair of intensity (stereo) images. We integrate perceptual grouping, stereo, shape from shading, and shape from texture modules under the proposed framework and... (Update)
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.... follow (identical) normal distribution and w i are equal, it can be proved that an intramodule confidence in the estimated disparities is [3]: Gamma d (J T J) Gamma1 ; 7) where J = R(u;d) d . Thus, the confidence in the stereo module output is directly proportional to...
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A Uniform Bayesian Framework for Integration - Pankanti, Jain (1995) (Correct)
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BibTeX entry: (Update)
S. Pankanti and A. K. Jain, "A Uniform Bayesian framework for integration," in IEEE International Symposium on Computer Vision, (Coral Gables, Florida), pp. 591--595, November, 19-21 1995. http://citeseer.ist.psu.edu/pankanti95uniform.html More
@inproceedings{ pankanti95uniform,
author = "Pankanti, S. and Jain, A.K.",
title = "A Uniform Bayesian Framework For Integration",
booktitle = "SCV95",
pages = "9B Integration / Texture",
year = "1995",
url = "citeseer.ist.psu.edu/pankanti95uniform.html" }
Citations (may not include all citations):1080 A computational approach to edge detection - Canny - 1986
100 Freeman and Co (context) - Marr, Francisco - 1982
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27 Integration of Visual Modules: An Extension of the Marr Para.. (context) - Aloimonos, Shulman - 1989
25 Shape from texture using local spectral moments (context) - Super, Bovik - 1995
17 Shape from shading as a partially well-constrained problem (context) - Oliensis - 1991
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5 Maryland: Computer Science Press (context) - Pavlidis, Graphics et al. - 1982
1 A Uniform Bayesian framework for integration - Pankanti, Jain - 1995
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