62 search results - page 6 / 13 » Deformable Model Fitting with a Mixture of Local Experts |
113
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
105
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ECCV
2008
Springer
16 years 28 days ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
115
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ISBI
2009
IEEE
15 years 5 months ago
2009
IEEE
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
115
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JMLR
2010
14 years 5 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
In this paper we describe a statistical method for the integration of an unlimited number of cues within a deformable model framework. We treat each cue as a random variable, each...