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It is precisely this disparity in the location of image points that gives the information needed to reconstruct the point position in space. , the reconstruction problem, deals with calculating the disparity between a set of corresponding points in the two images to create a disparity map, and to convert this into a three-dimensional map. In this context, we will show how Markov Random Fields (MRFs) can be effectively used. It is well known that MRFs constitute a powerful tool to incorporate spatial local interactions in a global context (Geman & Geman, 1984).

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Stereo correspondence estimation using multiwavelets scale-space representation based multiresolution analysis, Cybernetic and Systems 39(6): 641–665. A. , A. S. (2001). ), Proceedings of the Seventh International Conference on Virtual Systems and Multimedia (VSMM01). A. Witkin, D. T. & Kass, M. (1987). Signal matching through scale space, Int. J. of Computer Vision 1: 133–144. Impact of Wavelets Waveletsand andMultiwavelets Multiwavelets Bases Stereo Correspondence Estimation Problem Impact of Bases onon Stereo Correspondence Estimation Problem 17 33 Abhir Bhalerao, .

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