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» Histogram Based Segmentation Using Wasserstein Distances
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CVPR
2003
IEEE
14 years 9 months ago
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
In this paper, we present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class ...
Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, ...
ISBI
2006
IEEE
14 years 8 months ago
A statistical appearance model based on intensity quantile histograms
We present a novel histogram method for statistically characterizing the appearance of deformable models. In deformable model segmentation, appearance models measure the likelihoo...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
MVA
2002
261views Computer Vision» more  MVA 2002»
13 years 7 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang
ICIP
2010
IEEE
13 years 5 months ago
Earth Mover Distance on superpixels
Earth Mover Distance (EMD) is a popular distance to compute distances between Probability Density Functions (PDFs). It has been successfully applied in a wide selection of problem...
Sylvain Boltz, Frank Nielsen, Stefano Soatto
CSDA
2010
108views more  CSDA 2010»
13 years 7 months ago
Assessing when a sample is mostly normal
The use of trimming procedures constitutes a natural approach to robustifying statistical methods. This is the case of goodness-of-fit tests based on a distance, which can be modi...
Pedro C. Alvarez-Esteban, Eustasio del Barrio, Jua...