Review of low-baseline stereo algorithms and benchmarks

N. Sabater; G. Blanchet; L. Moisan; A. Almansa; J.-M. Morel

doi:10.1117/12.865087

13 October 2010 Review of low-baseline stereo algorithms and benchmarks

N. Sabater, G. Blanchet, L. Moisan, A. Almansa, J.-M. Morel

Proceedings Volume 7830, Image and Signal Processing for Remote Sensing XVI; 783005 (2010) https://doi.org/10.1117/12.865087
Event: SPIE Remote Sensing, 2010, Toulouse, France

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.

Citation Download Citation

N. Sabater, G. Blanchet, L. Moisan, A. Almansa, and J.-M. Morel "Review of low-baseline stereo algorithms and benchmarks", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783005 (13 October 2010); https://doi.org/10.1117/12.865087

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