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ECML
2001
Springer
13 years 12 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
MICCAI
1999
Springer
13 years 11 months ago
Optimization Approaches for Soft-Tissue Prediction in Craniofacial Surgery Simulation
Abstract. A system for interactive, 3–D, craniofacial surgery simulation is presented. It is used for the 3–D simulation of osteotomies of the facial and skull bones and for th...
Matthias Teschner, Sabine Girod, Bernd Girod
CGF
2010
144views more  CGF 2010»
13 years 7 months ago
Illustrative White Matter Fiber Bundles
Diffusion Tensor Imaging (DTI) has made feasible the visualization of the fibrous structure of the brain white matter. In the last decades, several fiber-tracking methods have bee...
Ron Otten, Anna Vilanova, Huub van De Wetering
CVPR
2009
IEEE
15 years 2 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
CVPR
2006
IEEE
14 years 9 months ago
Robust Tracking and Stereo Matching under Variable Illumination
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
Jingdan Zhang, Leonard McMillan, Jingyi Yu
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