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ECCV
2008
Springer
14 years 9 months ago
2008
Springer
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
PRL
2007
13 years 7 months ago
2007
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects. Our approach initially infers geometric primitives to de...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
When trying to extract 3D scene information and camera motion from an image sequence alone, it is often necessary to cope with independently moving objects. Recent research has un...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...