Estimating Optimal Parameters for MRF Stereo from a Single Image Pair

This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterior (MAP) problem in which both a disparity map and MRF parameters are estimated from the stereo pair itself. We present an i...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2007-02, Vol.29 (2), p.331-342
Hauptverfasser:	Li Zhang, Seitz, S.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Belief propagation Computer science control theory systems Computer Simulation Computer Society Energy measurement Error analysis Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Information Storage and Retrieval - methods Iterative algorithms Joining processes Markov Chains Markov random fields Models, Statistical Parameter estimation parameter setting Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Photogrammetry - methods Pixel Robustness Stereo matching Studies Subtraction Technique
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