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Proceedings Paper

Review of low-baseline stereo algorithms and benchmarks
Author(s): N. Sabater; G. Blanchet; L. Moisan; A. Almansa; J.-M. Morel
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Paper 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.

Paper Details

Date Published: 13 October 2010
PDF: 12 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783005 (13 October 2010); doi: 10.1117/12.865087
Show Author Affiliations
N. Sabater, Ctr. de Mathématiques et de Leurs Applications, CNRS, École Normale Supérieure de Cachan (France)
G. Blanchet, Ctr. National d'Études Spatiales (France)
L. Moisan, MAP5, CNRS, Univ. Paris Descartes (France)
A. Almansa, Télécom ParisTech (France)
J.-M. Morel, Ctr. de Mathématiques et de Leurs Applications, CNRS, École Normale Supérieure de Cachan (France)


Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

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