@inproceedings{c6ff247edf974e0bb633db2f32e47017,
title = "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. {\textcopyright} 2010 Copyright SPIE - The International Society for Optical Engineering.",
keywords = "Benchmark, DEM computation, low-baseline images, Sub-pixel accuracy",
author = "N. SABATER and G. BLANCHET and L. MOISAN and A. ALMANSA and MOREL, \{J. M.\}",
year = "2010",
doi = "10.1117/12.865087",
language = "English",
isbn = "9780819483478",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "Lorenzo BRUZZONE",
booktitle = "Image and Signal Processing for Remote Sensing XVI: 20-22 September 2010, Toulouse, France",
address = "United States",
note = "SPIE Remote Sensing 2010 ; Conference date: 20-09-2010 Through 22-09-2010",
}