GM-EP: Fast global stereo matching via energy pyramid minimization.

This work was published at the PCV2014 conference and is the result of the collaboration with S.Leprince, F.Ayoub, and J-P Avouac.

I presented this work at the PCV conference in Zurich, CH, during the morning oral session of Friday, September 5, 2014.


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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