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» Training Deformable Models for Localization
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ICCV
2005
IEEE
14 years 1 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
PG
1998
IEEE
14 years 8 days ago
General Constrained Deformations based on Generalized Metaballs
Space deformation is an important tool in computer animation and shape design. In this paper we propose a new local deformation model based on generalized metaballs. The user spec...
Xiaogang Jin, Youfu Li, Qunsheng Peng
AMDO
2006
Springer
13 years 11 months ago
Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models
We present a method to extract principal deformation modes from a set of articulated models describing the human spine. The spine was expressed as a set of rigid transforms that su...
Jonathan Boisvert, Xavier Pennec, Hubert Labelle, ...
ICIAP
1999
ACM
14 years 9 days ago
Self-Training Statistic Snake for Image Segmentation and Tracking
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
ISBI
2009
IEEE
14 years 2 months ago
A Shape-Navigated Image Deformation Model for 4D Lung Respiratory Motion Estimation
Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a shape-navigated dense image defo...
Xiaoxiao Liu, Rohit R. Saboo, Stephen M. Pizer, Gi...