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» A New Bayesian Method for Range Image Segmentation
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FGR
2008
IEEE
198views Biometrics» more  FGR 2008»
14 years 3 months ago
Recognizing hand gestures using dynamic Bayesian network
In this paper, we describe a dynamic Bayesian network or DBN based approach to both two-hand gestures and onehand gestures. Unlike wired glove-based approaches, the success of cam...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
SCALESPACE
2007
Springer
14 years 3 months ago
Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
This paper introduces a new framework for two-phase image segmentation, namely the Fuzzy Region Competition. A generic formulation is developed that extends in a convex way several...
Benoit Mory, Roberto Ardon
MICCAI
2004
Springer
14 years 10 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
MVA
2007
221views Computer Vision» more  MVA 2007»
13 years 10 months ago
Automatic Cobb Angle Measurement System by Using Nuclear Medicine Whole Body Bone Scan
Evaluation of scoliosis is performed traditionally by means of standing posterior-anterior radiographs of the full spine to assess lateral curvature with the Cobb method. In this ...
Jia-Yann Huang, Pan-Fu Kao, Yung-Sheng Chen
ICCV
2007
IEEE
14 years 11 months ago
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions
We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
Benoit Mory, Roberto Ardon, Jean-Philippe Thiran