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» A deformable local image descriptor
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ICPR
2004
IEEE
14 years 8 months ago
Pruning Local Feature Correspondences Using Shape Context
We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image...
Allan D. Jepson, Gustavo Carneiro
CVPR
2006
IEEE
14 years 9 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
ICCV
2001
IEEE
14 years 9 months ago
Indexing Based on Scale Invariant Interest Points
This paper presents a new method for detecting scale invariant interest points. The method is based on two recent results on scale space: 1) Interest points can be adapted to scal...
Krystian Mikolajczyk, Cordelia Schmid
SSIAI
2000
IEEE
14 years 2 days ago
Large-Deformation Image Registration Using Fluid Landmarks
For each patient receiving definitive treatment for cervix cancer, several CT/MR imaging studies need to be registered in order to specify the total physical or biological dose t...
Gary E. Christensen, P. Yin, Michael W. Vannier, K...
MICCAI
1998
Springer
13 years 12 months ago
Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures
We propose a new way of embedding shape distributions in a topological deformable template. These distributions rely on global shape descriptors corresponding to the 3D moment inva...
Fabrice Poupon, Jean-Francois Mangin, Dominique Ha...