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» A New Bayesian Method for Range Image Segmentation
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PAMI
2008
188views more  PAMI 2008»
13 years 9 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
ISBI
2008
IEEE
14 years 9 months ago
Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures
This paper presents a new method for multiple structure segmentation, using a maximum a posteriori (MAP) estimation framework, based on prior shape densities involving nonparametr...
Aytül Erçil, Gozde B. Unal, Müjda...
SCALESPACE
2009
Springer
14 years 3 months ago
A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
Carole Le Guyader, Luminita A. Vese
CVPR
1997
IEEE
12 years 5 months ago
Gradient Vector Flow: A New External Force for Snakes
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initial...
Chenyang Xu, Jerry L. Prince
3DIM
2007
IEEE
14 years 9 months ago
Automatic Pose Estimation for Range Images on the GPU
Object pose (location and orientation) estimation is a common task in many computer vision applications. Although many methods exist, most algorithms need manual initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...