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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.
Production and Management Engineering Dept., Democritus University of Thrace, Greece.
2011 (English)In: Depth Map and 3D Imaging Applications: Algorithms and Technologies / [ed] A. S. Malik, T.-S. Choi, and H. Nisar, IGI Global, 2011, 397-417 p.Chapter in book (Refereed)
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 vision-based 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, 2011. 397-417 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-51019DOI: 10.4018/978-1-61350-326-3.ch021Scopus ID: 2-s2.0-84899228822ISBN: 978-1-61350-326-3 (print)OAI: oai:DiVA.org:kth-51019DiVA: diva2:463198
Note
QC 20111212Available from: 2011-12-08 Created: 2011-12-08 Last updated: 2011-12-12Bibliographically approved

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Publisher's full textScopushttp://www.igi-global.com/chapter/depth-map-imaging-applications/60277

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