Embodied Vision Ph.D. Thesis 2014

Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception

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Embodied Vision
Max Planck Research Group Leader

Author(s): Stueckler, J.
Year: 2014
Bibtex Type: Ph.D. Thesis (phdthesis)
Electronic Archiving: grant_archive
School: Faculty of Mathematics and Natural Sciences, University of Bonn, Germany
URL: http://hss.ulb.uni-bonn.de/2014/3852/3852.htm

BibTex

@phdthesis{stueckler14-diss,
  title = {Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception},
  school = {Faculty of Mathematics and Natural Sciences, University of Bonn, Germany},
  year = {2014},
  slug = {stueckler14-diss},
  author = {Stueckler, J.},
  url = {http://hss.ulb.uni-bonn.de/2014/3852/3852.htm}
}