Review of low-baseline stereo algorithms and benchmarks

Abstract : 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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Communication dans un congrès
Image and Signal Processing for Remote Sensing XVI, Sep 2010, Toulouse, France. 7830, pp.783005, 2010, 〈10.1117/12.865087〉
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https://hal.archives-ouvertes.fr/hal-00624501
Contributeur : Lionel Moisan <>
Soumis le : lundi 19 septembre 2011 - 01:22:23
Dernière modification le : mardi 10 octobre 2017 - 11:22:03

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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. 7830, pp.783005, 2010, 〈10.1117/12.865087〉. 〈hal-00624501〉

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