Fast global stereo matching via energy pyramid minimization

Conejo, B.; Leprince, S.; Ayoub, F.; Avouac, J. P.

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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Conejo, B. / Leprince, S. / Ayoub, F. / et al: Fast global stereo matching via energy pyramid minimization. 2014. Copernicus Publications.

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