1387 search results - page 126 / 278 » Variational Bayesian image modelling |
119
Voted
TMI
1998
15 years 2 months ago
1998
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
133
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ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
142
Voted
CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
138
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MICCAI
2007
Springer
16 years 4 months ago
2007
Springer
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...
161
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...