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» Image sampling for localization using entropy
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CVPR
2008
IEEE
15 years 11 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille
PRL
2008
78views more  PRL 2008»
14 years 9 months ago
Retrieving scale from quasi-stationary images
(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
Piotr W. Mirowski, Daniel M. Tetzlaff
BMCBI
2007
120views more  BMCBI 2007»
14 years 10 months ago
Phylo-mLogo: an interactive and hierarchical multiple-logo visualization tool for alignment of many sequences
Background: When aligning several hundreds or thousands of sequences, such as epidemic virus sequences or homologous/orthologous sequences of some big gene families, to reconstruc...
Arthur Chun-Chieh Shih, D. T. Lee, Chin-Lin Peng, ...
MICCAI
2003
Springer
15 years 10 months ago
Boundary and Medial Shape Analysis of the Hippocampus in Schizophrenia
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes and thus potentially discr...
Martin Styner, Jeffrey A. Lieberman, Guido Gerig
CGF
2008
98views more  CGF 2008»
14 years 9 months ago
Texture Synthesis From Photographs
The goal of texture synthesis is to generate an arbitrarily large high-quality texture from a small input sample. Generally, it is assumed that the input image is given as a flat,...
Christian Eisenacher, Sylvain Lefebvre, Marc Stamm...