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» Using stereo for object recognition
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CCIA
2007
Springer
14 years 2 months ago
An Evaluation of an Object Recognition Schema Using Multiple Region Detectors
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Meritxell Vinyals, Arnau Ramisa, Ricardo Toledo
CVPR
2007
IEEE
14 years 10 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal
CVPR
1996
IEEE
14 years 25 days ago
Occlusion Detectable Stereo -- Occlusion Patterns in Camera Matrix
In stereo algorithms with more than two cameras, the improvement of accuracy is often reported since they are robust against noise. However, another important aspect of the polyno...
Yuichi Nakamura, Tomohiko Matsuura, Kiyohide Satoh...
CVPR
2006
IEEE
14 years 2 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
ICCV
2001
IEEE
14 years 10 months ago
Plan-View Trajectory Estimation with Dense Stereo Background Models
In a known environment, objects may be tracked in multiple views using a set of background models. Stereo-based models can be illumination-invariant, but often have undefined valu...
Trevor Darrell, David Demirdjian, Neal Checka, Ped...