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Fast global stereo matching via energy pyramid minimization

B Conejo 1, 2, 3 S Leprince 3 F Ayoub 3 Jean-Philippe Avouac 3 
1 imagine [Marne-la-Vallée]
LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech
Abstract : We define a global matching framework based on energy pyramid, the Global Matching via Energy Pyramid (GM-EP) algorithm, which estimates the disparity map from a single stereo-pair by solving an energy minimization problem. We efficiently address this minimization by globally optimizing a coarse to fine sequence of sparse Conditional Random Fields (CRF) directly defined on the energy. This global discrete optimization approach guarantees that at each scale we obtain a near optimal solution, and we demonstrate its superiority over state of the art image pyramid approaches through application to real stereo-pairs. We conclude that multiscale approaches should be build on energy pyramids rather than on image pyramids.
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Contributor : Pascal Monasse Connect in order to contact the contributor
Submitted on : Monday, November 10, 2014 - 9:22:24 AM
Last modification on : Saturday, January 15, 2022 - 3:58:20 AM
Long-term archiving on: : Wednesday, February 11, 2015 - 3:23:14 PM


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B Conejo, S Leprince, F Ayoub, Jean-Philippe Avouac. Fast global stereo matching via energy pyramid minimization. Photogrammetric Computer Vision - PCV2014, ISPRS Technical Commission III Midterm Symposium, Sep 2014, Zurich, Switzerland. pp.41 - 48, ⟨10.5194/isprsannals-II-3-41-2014⟩. ⟨hal-01081593⟩



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