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Journal articles
A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation
Abstract : Proximal splitting algorithms play a central role in finding the numerical solution of convex optimization problems. This paper addresses the problem of stereo matching of multi-component images by jointly estimating the disparity and the illumination variation. The global formulation being non-convex, the problem is addressed by solving a sequence of convex relaxations. Each convex relaxation is non trivial and involves many constraints aiming at imposing some reg- ularity on the solution. Experiments demonstrate that the method is efficient and provides better results compared with other approaches.
Cited literature [41 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-00733454
Contributor : Mireille El Gheche <>
Submitted on : Wednesday, September 19, 2012 - 11:04:15 AM
Last modification on : Friday, July 31, 2020 - 10:44:06 AM
Long-term archiving on: : Thursday, December 20, 2012 - 3:45:24 AM
Contributor : Mireille El Gheche <>
Submitted on : Wednesday, September 19, 2012 - 11:04:15 AM
Last modification on : Friday, July 31, 2020 - 10:44:06 AM
Long-term archiving on: : Thursday, December 20, 2012 - 3:45:24 AM
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2011_jmiv_hal.pdf
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