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MICCAI
2008
Springer
14 years 11 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
SIAMIS
2010
378views more  SIAMIS 2010»
13 years 4 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
IJCV
2006
236views more  IJCV 2006»
13 years 9 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
ICPR
2010
IEEE
13 years 7 months ago
3D Human Body Modeling Using Range Data
For the 3D modeling of walking humans the determination of body pose and extraction of body parts, from the sensed 3D range data, are challenging image processing problems. Real b...
Koichiro Yamauchi, Bir Bhanu, Hideo Saito
DGCI
2009
Springer
14 years 4 months ago
Multivariate Watershed Segmentation of Compositional Data
Abstract. Watershed segmentation of spectral images is typically achieved by first transforming the high-dimensional input data into a scalar boundary indicator map which is used ...
Michael Hanselmann, Ullrich Köthe, Bernhard Y...