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Chair of Computer Vision & Artificial Intelligence

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85748 Garching info@vision.in.tum.de

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Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests (bibtex)
Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests (bibtex)
by J. Stueckler and S. Behnke
Reference:
Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests (J. Stueckler and S. Behnke), In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2010. 
Bibtex Entry:
@inproceedings{stueckler-iros10,
 author = {J. Stueckler and S. Behnke},
 title = {Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests},
 booktitle = {Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)},
 year = {2010},
 month = {oct},
 pages = {4566-4571},
 doi = {10.1109/IROS.2010.5654338},
 url = {http://ais.uni-bonn.de/papers/IROS_2010_Stueckler.pdf},
}
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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