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Aggregation of Color Information in Stereo Matching Problem: A Comparison Study

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Trends in Applied Intelligent Systems (IEA/AIE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6098))

Abstract

In this paper we present a comparison study between different aggregation functions used in stereo matching problem. We add color information from images to the stereo matching algorithm by aggregating the similarities of the RGB channels which are calculated independently. We compare the accuracy of different stereo matching algorithms when using different aggregation functions. We show experimentally that the best function to use depends on the stereo matching algorithm considered.

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Author information

Authors and Affiliations

  1. Universidad Pública de Navarra, Campus Arrosadía s/n, 31006, Pamplona, Spain

    Mikel Galar, Miguel Pagola, Edurne Barrenechea, Carlos López-Molina & Humberto Bustince

Authors
  1. Mikel Galar
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  2. Miguel Pagola
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  3. Edurne Barrenechea
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  4. Carlos López-Molina
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  5. Humberto Bustince
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Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2010 Springer-Verlag Berlin Heidelberg

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Galar, M., Pagola, M., Barrenechea, E., López-Molina, C., Bustince, H. (2010). Aggregation of Color Information in Stereo Matching Problem: A Comparison Study. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13033-5_38

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  • DOI: https://doi.org/10.1007/978-3-642-13033-5_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13032-8

  • Online ISBN: 978-3-642-13033-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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