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ICRA
1999
IEEE

3-D Cueing: A Data Filter for Object Recognition

10 years 5 months ago
3-D Cueing: A Data Filter for Object Recognition
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing," uses shape signatures from object models as the basis for a fast, probabilistic classification system which rates scene points in terms of their likelihood of belonging to a model. This algorithm, which could be used as a front-end for any traditional 3D matching technique, is demonstrated using several models and cluttered scenes in which the model occupies between 1% and 50% of the data points.
Owen T. Carmichael, Martial Hebert
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ICRA
Authors Owen T. Carmichael, Martial Hebert
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