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Multi-View Reconstruction of Unknown Objects in the Presence of Known Occlusions
Stefan Kuhn , Dominik Henrich

Abstract (english)
We present a general method for reconstructing unknown objects (e.g. humans) within a known environment (e.g. tables, racks, robots) which usually has occlusions. These occlusions have to be considered since parts of the unknown objects might be hidden in some or even all camera views. Besides grayscale and color cameras also depth sensors are considered. In order to avoid cluttered reconstructions, plausibility checks are used to eliminate reconstruction artifacts which actually do not contain any unknown object. One application is a supervision/surveillance system for safe human/robot-coexistence and

Publication data

Year: 2009
Publication date: 21. July 2009
Place: urn:nbn:de:bvb:703-opus-5762
Source: http://opus.ub.uni-bayreuth.de/volltexte/2009/576/
Project: SIMERO
Keywords (deutsch): Mensch-Roboter-Koexistenz , Mensch-Roboter-Kooperation , Robotik , Sicherheit
Keywords (english): Human-Robot-Coexistence , Human-Robot-Cooperation , vision
Referrer: http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=kuhn2009a

BibTeX

@MISC{kuhn2009a,
  TITLE             = "Multi-View Reconstruction of Unknown Objects in the Presence of Known Occlusions",
  AUTHOR            = "Kuhn, Stefan and Henrich, Dominik",
  YEAR              = "2009",
  JOURNAL           = "http://opus.ub.uni-bayreuth.de/volltexte/2009/576/",
  HOWPUBLISHED      = "\url{http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=kuhn2009a}",
}

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