1018 search results - page 1 / 204 » Learning Probabilistic Models of Contours |
39
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ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
IJCV
2008
14 years 9 months ago
2008
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
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CVBIA
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...