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.
Document type :
Conference papers
Complete list of metadatas
Contributor : Lionel Moisan <>
Submitted on : Monday, September 19, 2011 - 1:22:23 AM
Last modification on : Thursday, April 11, 2019 - 4:02:09 PM




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⟩



Record views