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This is a new approach to handle occlusions in stereovision algorithms in the multiview context using imagesdestined for autostereoscopic displays. It takes advantage of information from all views and ensures the consistency of their disparity maps. We demonstrate itsapplication in a correlation-based method and a graphcuts-based method. The latter uses a new energy, whichmerges both dissimilarities and occlusions evaluations. We discuss the results on real and virtual images

An Occlusion Approach with Consistency Constraint for Multiscopic Depth Extraction