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ICCV
2009
IEEE
16 years 11 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICCV
2009
IEEE
16 years 11 months ago
The Self-Aware Matching Measure for Stereo
We revisit stereo matching functions, a topic that is considered well understood, from a different angle. Our goal is to discover a transformation that operates on the cost or s...
Philippos Mordohai
ICCV
2009
IEEE
1434views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Texel-based Texture Segmentation
Given an arbitrary image, our goal is to segment all distinct texture subimages. This is done by discovering distinct, cohesive groups of spatially repeating patterns, called tex...
Sinisa Todorovic, Narendra Ahuja
ICCV
2009
IEEE
2171views Computer Vision» more  ICCV 2009»
16 years 10 months ago
Fast Visibility Restoration from a Single Color or Gray Level Image
One source of difficulties when processing outdoor images is the presence of haze, fog or smoke which fades the colors and reduces the contrast of the observed objects. We introdu...
Jean-Philippe Tarel and Nicolas Hautière