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CVPR
2006
IEEE
15 years 4 months ago
2006
IEEE
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...
CVPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
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CVPR
2005
IEEE
16 years 5 days ago
2005
IEEE
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Most current approaches to recognition aim to be scaleinvariant. However, the cues available for recognizing a 300 pixel tall object are qualitatively different from tho...