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Structure from stereo vision using unsynchronised cameras for simultaneous localization and mapping
KTH.
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2005 (English)In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vols 1-4, 2005, 2993-2998 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a system for automatic reconstruction of 3D structure using two unsynchronized cameras. Three images are acquired sequentially from the left, right, and again from the left camera. A virtual image from the left camera synchronized with the right image is created by interpolating matching points of interest (SIFT features) in the two left images. Both geometric and probabilistic criteria are used to select the correct set of matching features amongst the three views. In an indoor environment, the method typically results in 3D structure with approximately 200 feature points, with a median 3D accuracy of 1.6 cm when the average depth is 3 m and the robot has moved 1-2 cm between each image acquisition.

Place, publisher, year, edition, pages
2005. 2993-2998 p.
Keyword [en]
stereo vision, 3D structure, outliers detection, unsynchronized cameras, SLAM, feature correspondence
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-43371DOI: 10.1109/IROS.2005.1545431ISI: 000235632102152Scopus ID: 2-s2.0-79958017264ISBN: 0-7803-8912-3 (print)OAI: oai:DiVA.org:kth-43371DiVA: diva2:448171
Conference
IEEE/RSJ International Conference on Intelligent Robots and Systems Location: Edmonton, CANADA Date: AUG 02-06, 2005
Note
QC 20111014Available from: 2011-10-14 Created: 2011-10-14 Last updated: 2011-10-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf