 |
Free and accessible knowledge |
Conference papers
Proximal splitting methods for depth estimation
Abstract : Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In this paper, we address the same estimation problem and propose to solve it in a more general convex optimization framework based on proximal methods. More precisely, unlike previous works where the criterion must satisfy some restrictive conditions in order to be able to numerically solve the minimization problem, this work offers a great flexibility in the choice of the involved criterion. The method is validated in a stereo image coding framework, and the results demonstrate the good performance of the proposed parallel proximal algorithm.
Cited literature [11 references]
https://hal.archives-ouvertes.fr/hal-00733840
Contributor : Mounir Kaaniche Connect in order to contact the contributor
Submitted on : Wednesday, July 10, 2013 - 12:00:33 PM
Last modification on : Saturday, January 15, 2022 - 3:56:03 AM
Long-term archiving on: : Friday, October 11, 2013 - 2:45:15 AM
Contributor : Mounir Kaaniche Connect in order to contact the contributor
Submitted on : Wednesday, July 10, 2013 - 12:00:33 PM
Last modification on : Saturday, January 15, 2022 - 3:56:03 AM
Long-term archiving on: : Friday, October 11, 2013 - 2:45:15 AM
File
ELGHECHE_ICASSP_2011.pdf
Files produced by the author(s)