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2006
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Disparity Map Estimation Using A Total Variation Bound

10 years 3 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an objective function is minimized under various constraints modelling prior knowledge and observed information. The algorithm proposed to solve this problem has a block-iterative structure which allows a wide range of constraints to be easily incorporated, possibly taking advantage of parallel computing architectures. In this work, we use a Total Variation bound as a regularization constraint, which is shown to be well-suited to disparity maps. Experimental results for standard data sets are presented to illustrate the capabilities of the proposed disparity estimation technique.
Wided Miled, Jean-Christophe Pesquet
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where CRV
Authors Wided Miled, Jean-Christophe Pesquet
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