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, ...
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...
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...
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...
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...