ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3, 41-48, 2014
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3/41/2014/
doi:10.5194/isprsannals-II-3-41-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
07 Aug 2014
Fast global stereo matching via energy pyramid minimization
B. Conejo1,2, S. Leprince1, F. Ayoub1, and J. P. Avouac1 1GPS Division, California Institute of Technology, Pasadena, CA, USA
2Imagine Lab, Université Paris-Est, LIGM (UMR CNRS 8049), ENPC, 77455 Marne-la-Vallée, France
Keywords: Photogrammetry, Global, Matching, Multiresolution, Algorithms, Estimation, DEM/DTM 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.
Conference paper (PDF, 13648 KB)


Citation: Conejo, B., Leprince, S., Ayoub, F., and Avouac, J. P.: Fast global stereo matching via energy pyramid minimization, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3, 41-48, doi:10.5194/isprsannals-II-3-41-2014, 2014.

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