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131
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CVPR
2008
IEEE
16 years 5 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
148
Voted
CVPR
2008
IEEE
16 years 5 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...
CVPR
2008
IEEE
16 years 5 months ago
Multi-object shape estimation and tracking from silhouette cues
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
Li Guan, Jean-Sébastien Franco, Marc Pollef...
111
Voted
CVPR
2008
IEEE
16 years 5 months ago
Image selection for improved Multi-View Stereo
The Middlebury Multi-View Stereo evaluation [18] clearly shows that the quality and speed of most multi-view stereo algorithms depends significantly on the number and selection of...
Alexander Hornung, Boyi Zeng, Leif Kobbelt
124
Voted
CVPR
2008
IEEE
16 years 5 months ago
Information-theoretic active scene exploration
Studies support the need for high resolution imagery to identify persons in surveillance videos[13]. However, the use of telephoto lenses sacrifices a wider field of view and ther...
Eric Sommerlade, Ian Reid
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