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» Level set image segmentation with Bayesian analysis
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ICCV
2003
IEEE
16 years 1 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
78
Voted
MICCAI
2005
Springer
16 years 1 hour ago
Two Methods for Validating Brain Tissue Classifiers
In this paper, we present an evaluation of seven automatic brain tissue classifiers based on level of agreements. A number of agreement measures are explained, and we show how they...
Marcos Martín-Fernández, Sylvain Bou...
70
Voted
ICPR
2008
IEEE
16 years 9 days ago
A probabilistic approach for tracking fibers
This paper describes a combination of an automated image acquisition method and a probabilistic tracking method for analysis of the 3D microstructure of a sheet of paper. A protot...
Horst Bischof, Johannes Kritzinger, Michael Donose...
WIAMIS
2009
IEEE
15 years 5 months ago
Motion-swarm widgets for video interaction
Computer vision systems for human-computer interaction have tended towards more precise forms of interface that require complex vision tasks such as segmentation, tracking, object...
Jeffrey E. Boyd
EMMCVPR
2011
Springer
13 years 11 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady