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» A New Bayesian Method for Range Image Segmentation
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FGR
2008
IEEE
198views Biometrics» more  FGR 2008»
15 years 9 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
15 years 9 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
16 years 3 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»
15 years 4 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
16 years 5 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