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Bioinformatics-Motivated Approach to Stereo Matching

  • Conference paper
Book cover Computer Vision, Imaging and Computer Graphics. Theory and Applications (VISIGRAPP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 274))

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Abstract

We propose a framework for stereo matching that exploits the similarities between protein sequence alignment in bioinformatics and image pair correspondence in computer vision. This bioinformatics-motivated approach is based on dynamic programming, which provides versatility and low complexity. In addition, the protein alignment analogy inspired the design of a meaningfulness graph which predicts the validity of stereo matching according to image overlap and pixel similarity. Finally, we present a technique for automatic parameter estimation which makes our system suitable for uncontrolled environment. Experiments conducted on a standard benchmark dataset, image pairs with different resolutions and distorted images validate our approach and support the proposed analogy between computer vision and bioinformatics.

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Author information

Authors and Affiliations

  1. Digitial Imaging Research Centre, Kingston University, Penhryn Road, Kingston-Upon-Thames, KT1 2EE, Surrey, U.K.

    Jesus Martinez-del-Rincon, Jerome Thevenon, Romain Dieny & Jean-Christophe Nebel

Authors
  1. Jesus Martinez-del-Rincon
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  2. Jerome Thevenon
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  3. Romain Dieny
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  4. Jean-Christophe Nebel
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Editor information

Editors and Affiliations

  1. Xerox Research Centre Europe, 6 ch. de Maupertuis, 38240, Meylan, France

    Gabriela Csurka

  2. Aalborg University, Niels Jernes Vej 14, 3-215A, 9220, Aalborg Ø, Denmark

    Martin Kraus

  3. Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia

    Leonid Mestetskiy

  4. LISA-ISTIA, Université d’Angers, 62, avenue Notre-Dame du Lac, 49000, Angers, France

    Paul Richard

  5. Departamento de Sistemas e Informática, Escola Superior de Tecnologia do IPS, Rua do Vale de Chaves Estefanilha, 2910, Setúbal, Portugal

    José Braz

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Martinez-del-Rincon, J., Thevenon, J., Dieny, R., Nebel, JC. (2013). Bioinformatics-Motivated Approach to Stereo Matching. In: Csurka, G., Kraus, M., Mestetskiy, L., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Applications. VISIGRAPP 2011. Communications in Computer and Information Science, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32350-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-32350-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32349-2

  • Online ISBN: 978-3-642-32350-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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