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Review of stereo vision algorithms: From software to hardware
Production and Management Engineering Dept., Democritus University of Thrace, Greece.
Electrical and Computer Engineering Dept., Democritus University of Thrace, Greece.
Production and Management Engineering Dept., Democritus University of Thrace, Greece.
2008 (English)In: International Journal of Optomechatronics, ISSN 1559-9612, Vol. 2, no 4, 435-462 p.Article, review/survey (Refereed) Published
Abstract [en]

Stereo vision, resulting in the knowledge of deep information in a scene, is of great importance in the field of machine vision, robotics and image analysis. In this article, an explicit analysis of the existing stereo matching methods, up to date, is presented. The presented algorithms are discussed in terms of speed, accuracy, coverage, time consumption, and disparity range. Towards the direction of real-time operation, the development of stereo matching algorithms, suitable for efficient hardware implementation is highly desirable. Implementations of stereo matching algorithms in hardware for real-time applications are also discussed in details.

Place, publisher, year, edition, pages
2008. Vol. 2, no 4, 435-462 p.
Keyword [en]
Computer vision, Hardware, Image analysis, Explicit analysis, Hardware implementations, Machine visions, Real-time applications, Stereo matching algorithms, Stereo matching methods, Time consumptions, Vision algorithms, Stereo vision
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-50997DOI: 10.1080/15599610802438680ISI: 000270085400006OAI: oai:DiVA.org:kth-50997DiVA: diva2:463163
Projects
Vision and Chemiresistor Equipped Web-connected Finding Robots (View-Finder), FP6-IST-2006-045541
Note
QC 20111209Available from: 2011-12-08 Created: 2011-12-08 Last updated: 2011-12-09Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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