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Communication Dans Un Congrès Année : 2010

Review of low-baseline stereo algorithms and benchmarks

Résumé

The purpose of this work is to review and evaluate the performance of several algorithms which have been designed for satellite imagery in a geographic context. In particular we are interested in their performance with low-baseline image pairs like those which will be produced by the Pleiades satellite. In this study local and global state of the art algorithms have been considered and compared: CARMEN, MARC, MARC2 and MICMAC. This paper aims also at proposing a new benchmark to compare stereo algorithms. A set of simulated stereo images for which the ground truth is perfectly known will be presented. The obtained accuracy for the ground truth is more than a hundredth of pixel. The existence of an accurate ground truth is a major improvement for the community, allowing to quantify very precisely the disparity error in a realistic setting.
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Dates et versions

hal-00624501 , version 1 (19-09-2011)

Identifiants

Citer

Neus Sabater, Gwendoline Blanchet, Lionel Moisan, Andrés Almansa, Jean-Michel Morel. Review of low-baseline stereo algorithms and benchmarks. Image and Signal Processing for Remote Sensing XVI, Sep 2010, Toulouse, France. pp.783005, ⟨10.1117/12.865087⟩. ⟨hal-00624501⟩
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