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Acquiring Modells of Rectangular Objects for Robot Maps (bibtex)
  author = {Schröter, Derik and Beetz, Michael},
  title = {Acquiring Modells of Rectangular Objects for Robot Maps},
  booktitle = {Proc. of {IEEE} International Conference on Robotics and Automation
	({ICRA)}, New {Orleans/USA}},
  year = {2004},
  abstract = {State-of-the-art robot mapping approaches are capable of acquiring
	impressively accurate {2D} and {3D} models of their environments.
	To the best of our knowledge few of them can acquire models of task-relevant
	objects. In this paper, we introduce a novel method for acquiring
	models of task-relevant objects from stereo images. The proposed
	algorithm applies methods from projective geometry and works for
	rectangular objects, which are, in office- and museum-like environments,
	the most commonly found subclass of geometric objects. The method
	is shown to work accurately and for a wide range of viewing angles
	and distances.}
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Last edited 29.01.2013 17:37 by Quirin Lohr