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» Boundary Finding with Prior Shape and Smoothness Models
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TMI
2008
108views more  TMI 2008»
14 years 9 months ago
Estimation and Statistical Bounds for Three-Dimensional Polar Shapes in Diffuse Optical Tomography
Abstract--Voxel-based reconstructions in diffuse optical tomography (DOT) using a quadratic regularization functional tend to produce very smooth images due to the attenuation of h...
Gregory Boverman, Eric L. Miller, Dana H. Brooks, ...
CVPR
2008
IEEE
14 years 9 months ago
Tracking distributions with an overlap prior
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
Ismail Ben Ayed, Shuo Li, Ian G. Ross
ICIP
2006
IEEE
15 years 11 months ago
Shape-Based Image Segmentation Using Normalized Cuts
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...
Wenchao Cai, Jue Wu, Albert C. S. Chung
ICIP
1999
IEEE
15 years 11 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
IJAR
2008
161views more  IJAR 2008»
14 years 9 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler