http://research.microsoft.com/en-us/people/carrot/

AG 1, AG 3, AG 5, SWS, AG 2, AG 4, RG1, MMCI   Info

MPI Audience

English

45 Minutes

Saarbrücken

Stereo matching is the task of reconstructing a 3D scene from a pair of stereo images. This is a long-standing goal in computer vision and a large number of approaches exist. In this presentation I will review various works we have done in this field which were presented at recent conferences, CVPR '11 and BMVC '11. One line of research is to develop a rather complex objective function which jointly models depth and the collection of 3D objects that constitute the scene. The other line of research investigates fast techniques which still achieve excellent results in practice. In particular I will present the stereo guided filter and stereo PatchMatch algorithm.
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Peter Gehler

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stereo; computer vision