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An Optimized Software-Based Implementation of a Census-Based Stereo Matching Algorithm

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5358))

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Abstract

This paper presents S 3 E, a software implementation of a high-quality dense stereo matching algorithm. The algorithm is based on a Census transform with a large mask size. The strength of the system lies in the flexibility in terms of image dimensions, disparity levels, and frame rates. The program runs on standard PC hardware utilizing various SSE instructions. We describe the performance optimization techniques that had a considerably high impact on the run-time performance. Compared to a generic version of the source code, a speedup factor of 112 could be achieved. On input images of 320×240 and a disparity range of 30, S 3 E achieves 42fps on an Intel Core 2 Duo CPU running at 2GHz.

The research leading to these results has received funding from the European Community’s Sixth Framework Programme (FP6/2003-2006) under grant agreement # FP6-2006-IST-6-045350 (robots@home).

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Author information

Authors and Affiliations

  1. Austrian Research Centers GmbH – ARC, Donau-City-Str. 1, 1220, Vienna, Austria

    Christian Zinner, Martin Humenberger, Karina Ambrosch & Wilfried Kubinger

Authors
  1. Christian Zinner
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  2. Martin Humenberger
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  3. Karina Ambrosch
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  4. Wilfried Kubinger
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

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© 2008 Springer-Verlag Berlin Heidelberg

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Zinner, C., Humenberger, M., Ambrosch, K., Kubinger, W. (2008). An Optimized Software-Based Implementation of a Census-Based Stereo Matching Algorithm. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89639-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-89639-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89638-8

  • Online ISBN: 978-3-540-89639-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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