ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
We present an image restoration method that leverages
a large database of images gathered from the web. Given
an input image, we execute an efficient visual search to
find the c...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Common visual codebook generation methods used in
a Bag of Visual words model, e.g. k-means or Gaussian
Mixture Model, use the Euclidean distance to cluster features
into visual...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
The aim of color constancy is to remove the effect of the
color of the light source. As color constancy is inherently
an ill-posed problem, most of the existing color constancy
...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
The state-of-the art in visual object retrieval from large
databases allows to search millions of images on the object
level. Recently, complementary works have proposed systems
...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Our objective is to obtain a state-of-the art object category
detector by employing a state-of-the-art image classifier
to search for the object in all possible image subwindows....
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a fast and robust system for estimating structure
and motion using a stereo pair, with straight lines as
features. Our first set of contributions are efficient algorit...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Scenes with cast shadows can produce complex sets of
images. These images cannot be well approximated by lowdimensional
linear subspaces. However, in this paper we
show that the...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a shape-based algorithm for detecting and
recognizing non-rigid objects from natural images. The existing
literature in this domain often cannot model the objects
ver...
ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...