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Stereo vision depth estimation methods for robotic applications
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2013 (English)In: Robotics: Concepts, Methodologies, Tools, and Applications, IGI Global, 2013, Vol. 3, p. 1461-1481Chapter in book (Other academic)
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Abstract [en]

Vision is undoubtedly the most important sense for humans. Apart from many other low and higher level perception tasks, stereo vision has been proven to provide remarkable results when it comes to depth estimation. As a result, stereo vision is a rather popular and prosperous subject among the computer and machine vision research community. Moreover, the evolution of robotics and the demand for visionbased autonomous behaviors has posed new challenges that need to be tackled. Autonomous operation of robots in real working environments, given limited resources requires effective stereo vision algorithms. This chapter presents suitable depth estimation methods based on stereo vision and discusses potential robotic applications.

Place, publisher, year, edition, pages
IGI Global, 2013. Vol. 3, p. 1461-1481
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-181275DOI: 10.4018/978-1-4666-4607-0.ch071Scopus ID: 2-s2.0-84944901355ISBN: 9781466646087 (print)OAI: oai:DiVA.org:kth-181275DiVA: diva2:902546
Note

QC 20160211

Available from: 2016-02-11 Created: 2016-01-29 Last updated: 2018-01-10Bibliographically approved

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  • apa
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  • Other locale
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Output format
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