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Multi-View Reconstruction of Unknown Objects within a Known Environment
Stefan Kuhn , Dominik Henrich

Abstract (english)
We present a general vision-based method for reconstructing multiple unknown objects (e.g. humans) within a known environment (e.g. tables, racks, robots) which usually has occlusions. These occlusions have to be explicitly considered since parts of the unknown objects might be hidden in some or even all camera views. 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: 01. December 2009
Place: Las Vegas
Source: 5th International Symposium on Visual Computing (ISVC 2009)
Project: SIMERO
Keywords (deutsch): Mensch-Roboter-Koexistenz
Keywords (english): Human-Robot-Coexistence , multi-view reconstruction , occlusion , vision , visual hull
Referrer: http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=kuhn2009b
Free text: The original publication is available at www.springerlink.com

BibTeX

@ARTICLE{kuhn2009b,
  TITLE             = "Multi-View Reconstruction of Unknown Objects within a Known Environment",
  AUTHOR            = "Kuhn, Stefan and Henrich, Dominik",
  YEAR              = "2009",
  JOURNAL           = "5th International Symposium on Visual Computing (ISVC 2009)",
  HOWPUBLISHED      = "\url{http://www.ai3.uni-bayreuth.de/resypub/?mode=pub_show&pub_ref=kuhn2009b}",
  NOTE              = "The original publication is available at www.springerlink.com",
}

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