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» Training Deformable Models for Localization
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MICCAI
2008
Springer
14 years 9 months ago
3D Brain Segmentation Using Active Appearance Models and Local Regressors
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
SMA
2005
ACM
239views Solid Modeling» more  SMA 2005»
14 years 1 months ago
Bender: a virtual ribbon for deforming 3D shapes in biomedical and styling applications
In contrast to machined mechanical parts, the 3D shapes encountered in biomedical or styling applications contain many tubular parts, protrusions, engravings, embossings, folds, a...
Ignacio Llamas, Alexander Powell, Jarek Rossignac,...
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 3 months ago
Classification with Scattering Operators
A scattering vector is a local descriptor including multiscale and multi-direction co-occurrence information. It is computed with a cascade of wavelet decompositions and complex m...
Joan Bruna, Stéphane Mallat
IJCV
2012
11 years 10 months ago
Globally Optimal Estimation of Nonrigid Image Distortion
Abstract Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps...
Yuandong Tian, Srinivasa G. Narasimhan
MIAR
2006
IEEE
14 years 2 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen