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15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Development of a simple free viewpoint video system
A simple free viewpoint video system which is able not only to display user-specified views at arbitrary angle but also to efficiently stream the necessary video over a network ...
Seokhwan Jo, Dohyun Lee, Yoonseob Kim, Chang D. Yo...
CVPR
2004
IEEE
14 years 9 months ago
Motion Estimation by Swendsen-Wang Cuts
Our paper has two main contributions. Firstly, it presents a model for image sequences motivated by an image encoding perspective. It models accreted regions, where objects appear...
Adrian Barbu, Alan L. Yuille
TMI
2010
156views more  TMI 2010»
13 years 2 months ago
Snakules: A Model-Based Active Contour Algorithm for the Annotation of Spicules on Mammography
Abstract--We have developed a novel, model-based active contour algorithm, termed "snakules", for the annotation of spicules on mammography. At each suspect spiculated ma...
Gautam S. Muralidhar, Alan Conrad Bovik, J. David ...
AINA
2008
IEEE
14 years 1 months ago
Protein Structure Comparison and Alignment Using Residue Contexts
We introduce a method for comparing protein structures using the notion of residue contexts based on protein Cα-atom backbones. The residue context is derived from the set of vec...
Tobias Sayre, Rahul Singh