research-article

A new stereo matching algorithm for binocular vision

Authors:

Tao Hu,

May HuangAuthors Info & Claims

ICHIT '09: Proceedings of the 2009 International Conference on Hybrid Information Technology

Pages 42 - 44

https://doi.org/10.1145/1644993.1645001

Published: 27 August 2009 Publication History

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Abstract

The stereo matching algorithms for binocular vision are very popular and widely applied. However, the algorithms may have lower matching quality or higher time complexity. To improve that, a new stereo matching algorithm based on square and gradient for binocular vision is proposed in the paper. It divides an image line into a serious of ranges with comparing the gradients of the points in left and right image lines. The best matching in each range is found based on the summery of squared differences. The algorithm inherits the high quality of gradient algorithm and high performance of SSD algorithm and meanwhile avoids the additive noise.

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R. A. Lane, N. A. Thacker. "Stereo vision research: An algorithm survey. Technical Report 94/16, University of Sheffield, 1994.

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G. Calin, V. O. Roda, "Real-TIME DISPARITY MAP EXTRACTION A DUAL HEAD STEREO VISION SYSTEM", Latin American Applied Research, 2007.

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L. Di Stefano, M. Marchionni, "A Fast Area-Based Stereo Matching Algorithm", Machine Grapics&Vision, 2004.

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Cited By

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Wang JMa HLi B(2019)3-D Dimension Measurement of Workpiece Based on Binocular VisionIntelligent Robotics and Applications10.1007/978-3-030-27532-7_35(392-404)Online publication date: 2-Aug-2019
https://doi.org/10.1007/978-3-030-27532-7_35
Mohamudally FYeong LChong CCh'ng S(2014)A hybrid object and pixel-based human obstacle detection and depth predictionThe 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)10.1109/ISCE.2014.6884373(1-3)Online publication date: Jun-2014
https://doi.org/10.1109/ISCE.2014.6884373
Li Z(2013)A Multi-Gradation Stereo Matching Method Based on Edge Feature PointsAdvanced Materials Research10.4028/www.scientific.net/AMR.748.624748(624-628)Online publication date: Aug-2013
https://doi.org/10.4028/www.scientific.net/AMR.748.624
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Index Terms

A new stereo matching algorithm for binocular vision
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
      2. Image and video acquisition
        3D imaging

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Information & Contributors

Information

Published In

ICHIT '09: Proceedings of the 2009 International Conference on Hybrid Information Technology

August 2009

687 pages

ISBN:9781605586625

DOI:10.1145/1644993

General Chairs:
Geuk Lee
Hannam University, Korea
,
Daniel Howard
QinetiQ, UK
,
Jeong Jin Kang
Dong Seoul University, Korea
,
Program Chairs:
Dominik Slezak
Infobright, Canada
,
Tae Nam Ahn
SERC, Korea
,
Chung-Huang Yang
National Kaohsiung Normal University, Taiwan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2009

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ICHIT '09

ICHIT '09: International Conference on Convergence and Hybrid Information Technology

August 27 - 29, 2009

Daejeon, Korea

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Cited By

View all

Wang JMa HLi B(2019)3-D Dimension Measurement of Workpiece Based on Binocular VisionIntelligent Robotics and Applications10.1007/978-3-030-27532-7_35(392-404)Online publication date: 2-Aug-2019
https://doi.org/10.1007/978-3-030-27532-7_35
Mohamudally FYeong LChong CCh'ng S(2014)A hybrid object and pixel-based human obstacle detection and depth predictionThe 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)10.1109/ISCE.2014.6884373(1-3)Online publication date: Jun-2014
https://doi.org/10.1109/ISCE.2014.6884373
Li Z(2013)A Multi-Gradation Stereo Matching Method Based on Edge Feature PointsAdvanced Materials Research10.4028/www.scientific.net/AMR.748.624748(624-628)Online publication date: Aug-2013
https://doi.org/10.4028/www.scientific.net/AMR.748.624
Dinham MFang G(2013)Autonomous weld seam identification and localisation using eye-in-hand stereo vision for robotic arc weldingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2013.01.00429:5(288-301)Online publication date: Oct-2013
https://doi.org/10.1016/j.rcim.2013.01.004
Liangbao JJiao CRui CXuehong CLee SHanzo LChung MLee SCho K(2011)A hierarchical block matching algorithm in depth extraction for binocular visionProceedings of the 5th International Conference on Ubiquitous Information Management and Communication10.1145/1968613.1968760(1-4)Online publication date: 21-Feb-2011
https://dl.acm.org/doi/10.1145/1968613.1968760
Liao MZhou LLv GCao YLi H(2011)An efficient stereo displaying method of huge 3d scene2011 19th International Conference on Geoinformatics10.1109/GeoInformatics.2011.5980794(1-5)Online publication date: Jun-2011
https://doi.org/10.1109/GeoInformatics.2011.5980794

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Optimizing ZNCC calculation in binocular stereo matching

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