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» Learning Low-Level Vision
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CVPR
2008
IEEE
16 years 4 months ago
3D occlusion recovery using few cameras
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework cons...
Mark A. Keck, James W. Davis
CVPR
2008
IEEE
16 years 4 months ago
Cost-sensitive face recognition
Traditional face recognition systems attempt to achieve a high recognition accuracy, which implicitly assumes that the losses of all misclassifications are the same. However, in m...
Yin Zhang, Zhi-Hua Zhou
ICCV
2007
IEEE
16 years 4 months ago
High Detection-rate Cascades for Real-Time Object Detection
A new strategy is proposed for the design of cascaded object detectors of high detection-rate. The problem of jointly minimizing the false-positive rate and classification complex...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
ICCV
2003
IEEE
16 years 4 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
ICCV
1998
IEEE
16 years 4 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg