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Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception (bibtex)
Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception (bibtex)
by J. Stueckler
Reference:
Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception (J. Stueckler), PhD thesis, Faculty of Mathematics and Natural Sciences, University of Bonn, Germany, 2014. 
Bibtex Entry:
@phdthesis{stueckler14-diss,
 author = {J. Stueckler},
 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},
 url = {http://hss.ulb.uni-bonn.de/2014/3852/3852.htm},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group