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» Characterization of Neuropathological Shape Deformations
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ICIP
2009
IEEE
13 years 3 months ago
Shapes as empirical distributions
We address the problem of shape based classification. We interpret the shape of an object as a probability distribution governing the location of the points of the object. An imag...
Bernardo Rodrigues Pires, José M. F. Moura
IJCV
2007
146views more  IJCV 2007»
13 years 5 months ago
Statistical Multi-Object Shape Models
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-...
ECCV
2008
Springer
14 years 7 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
CVPR
2006
IEEE
14 years 7 months ago
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
ICIP
2003
IEEE
13 years 10 months ago
Shape metrics, warping and statistics
We propose to use approximations of shape metrics, such as the Hausdorff distance, to define similarity measures between shapes. Our approximations being continuous and different...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...