STEREO VISION MATCHING OVER SINGLE-CHANNEL COLOR-BASED SEGMENTATION

Pablo Revuelta Sanz, Belén Ruiz Mezcua, José M. Sánchez Pena, Jean-Phillippe Thiran

Abstract

Stereo vision is one of the most important passive methods to extract depth maps. Among them, there are several approaches with advantages and disadvantages. Computational load is especially important in both the block matching and graphical cues approaches. In a previous work, we proposed a region growing segmentation solution to the matching process. In that work, matching was carried out over statistical descriptors of the image regions, commonly referred to as characteristic vectors, whose number is, by definition, lower than the possible block matching possibilities. This first version was defined for gray scale images. Although efficient, the gray scale algorithm presented some important disadvantages, mostly related to the segmentation process. In this article, we present a pre-processing tool to compute gray scale images that maintains the relevant color information, preserving both the advantages of gray scale segmentation and those of color image processing. The results of this improved algorithm are shown and compared to those obtained by the gray scale segmentation and matching algorithm, demonstrating a significant improvement of the computed depth maps.

References

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Paper Citation


in Harvard Style

Revuelta Sanz P., Ruiz Mezcua B., M. Sánchez Pena J. and Thiran J. (2011). STEREO VISION MATCHING OVER SINGLE-CHANNEL COLOR-BASED SEGMENTATION . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011) ISBN 978-989-8425-72-0, pages 126-130. DOI: 10.5220/0003473201260130


in Bibtex Style

@conference{sigmap11,
author={Pablo Revuelta Sanz and Belén Ruiz Mezcua and José M. Sánchez Pena and Jean-Phillippe Thiran},
title={STEREO VISION MATCHING OVER SINGLE-CHANNEL COLOR-BASED SEGMENTATION},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011)},
year={2011},
pages={126-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003473201260130},
isbn={978-989-8425-72-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011)
TI - STEREO VISION MATCHING OVER SINGLE-CHANNEL COLOR-BASED SEGMENTATION
SN - 978-989-8425-72-0
AU - Revuelta Sanz P.
AU - Ruiz Mezcua B.
AU - M. Sánchez Pena J.
AU - Thiran J.
PY - 2011
SP - 126
EP - 130
DO - 10.5220/0003473201260130