103
click to vote
ICCV
2009
IEEE
16 years 8 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...
134
click to vote
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
Markov Random Field is now ubiquitous in many formulations
of various vision problems. Recently, optimization
of higher-order potentials became practical using higherorder
graph...
138
click to vote
ICCV
2009
IEEE
16 years 8 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...
104
click to vote
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
We present a novel variant of the RANSAC algorithm
that is much more efficient, in particular when dealing with
problems with low inlier ratios. Our algorithm assumes
that there...
140
click to vote
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...