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Authors: Albert Solé-Ribalta 1 ; Gerard Sanromà 1 ; Francesc Serratosa 1 and René Alquézar 2

Affiliations: 1 Universitat Rovira i Virgili, Spain ; 2 CSIC-UPC, Spain

Keyword(s): Multiple Point Set Alignment, Group Wise Point Set Alignment.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration

Abstract: Finding sparse correspondences between two images is a usual process needed for several higher-level computer vision tasks. For instance, in robot positioning, it is frequent to make use of images that the robot captures from their cameras to guide the localisation or reduce the intrinsic ambiguity of a specific localisation obtained by other methods. Nevertheless, obtaining good correspondence between two images with a high degree of dissimilarity is a complex task that may lead to important positioning errors. With the aim of increasing the accuracy with respect to the pair-wise image matching approaches, we present a new method to compute group-wise correspondences among a set of images. Thus, pair-wise errors are compensated and better correspondences between images are obtained. These correspondences can be used as a less-noisy input for the localisation process. Group-wise correspondences are computed by finding the common labelling of a set of salient points obtained from the images. Results show a clear increase in effectiveness with respect to methods that use only two images. (More)

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Paper citation in several formats:
Solé-Ribalta, A.; Sanromà, G.; Serratosa, F. and Alquézar, R. (2012). GROUP-WISE SPARSE CORRESPONDENCES BETWEEN IMAGES BASED ON A COMMON LABELLING APPROACH. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 269-278. DOI: 10.5220/0003846802690278

@conference{visapp12,
author={Albert Solé{-}Ribalta. and Gerard Sanromà. and Francesc Serratosa. and René Alquézar.},
title={GROUP-WISE SPARSE CORRESPONDENCES BETWEEN IMAGES BASED ON A COMMON LABELLING APPROACH},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={269-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003846802690278},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - GROUP-WISE SPARSE CORRESPONDENCES BETWEEN IMAGES BASED ON A COMMON LABELLING APPROACH
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Solé-Ribalta, A.
AU - Sanromà, G.
AU - Serratosa, F.
AU - Alquézar, R.
PY - 2012
SP - 269
EP - 278
DO - 10.5220/0003846802690278
PB - SciTePress

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