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» A probabilistic framework for image segmentation
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ICIP
2005
IEEE
14 years 9 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
ICCV
2009
IEEE
13 years 5 months ago
Probabilistic occlusion boundary detection on spatio-temporal lattices
In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which en...
Mehmet Emre Sargin, Luca Bertelli, Bangalore S. Ma...
CVPR
2007
IEEE
14 years 10 months ago
Shape Statistics for Image Segmentation with Prior
We propose a new approach to compute non-linear, intrinsic shape statistics and to incorporate them into a shape prior for an image segmentation task. Given a sample set of contou...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
ISVC
2007
Springer
14 years 2 months ago
Image and Volume Segmentation by Water Flow
Abstract. A general framework for image segmentation is presented in this paper, based on the paradigm of water flow. The major water flow attributes like water pressure, surface t...
Xin U. Liu, Mark S. Nixon
PR
2008
140views more  PR 2008»
13 years 7 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...