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» A Bayesian approach for image segmentation with shape priors
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ICIP
2008
IEEE
14 years 10 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
ICCV
2009
IEEE
13 years 6 months ago
Estimating human shape and pose from a single image
We describe a solution to the challenging problem of estimating human body shape from a single photograph or painting. Our approach computes shape and pose parameters of a 3D huma...
Peng Guan, Alexander Weiss, Alexandru O. Balan, Mi...
ICIP
2005
IEEE
14 years 10 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
MIAR
2010
IEEE
13 years 7 months ago
DTI Connectivity by Segmentation
Abstract. This paper proposes a new method to compute connectivity information from diffusion weighted images. It is inspired by graphbased approaches to connectivity definition,...
Marc Niethammer, Alexis Boucharin, Christopher Zac...
ICIP
2004
IEEE
14 years 10 months ago
Joint blind separation and restoration of mixed degraded images for document analysis
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...
Anna Tonazzini, Ivan Gerace, Francesco Cricco