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» A Bayesian approach for image segmentation with shape priors
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MICCAI
2002
Springer
14 years 9 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
IPMI
2007
Springer
14 years 9 months ago
Geometrically Proper Models in Statistical Training
In deformable model segmentation, the geometric training process plays a crucial role in providing shape statistical priors and appearance statistics that are used as likelihoods. ...
Qiong Han, Derek Merck, Josh Levy, Christina Villa...
ICPR
2002
IEEE
14 years 10 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
ICIP
2009
IEEE
13 years 6 months ago
Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
We consider the problem of parsing facial features from an image labeling perspective. We learn a per-pixel unary classifier, and a prior over expected label configurations, allow...
Jonathan Warrell, Simon J. D. Prince
ICIP
2010
IEEE
13 years 6 months ago
3D video performance segmentation
We present a novel approach that achieves segmentation of subject body parts in 3D videos. 3D video consists in a freeviewpoint video of real-world subjects in motion immersed in ...
Tony Tung, Takashi Matsuyama