Accurate denition of similarity measure is a key component
in image registration. Most commonly used intensitybased
similarity measures rely on the assumptions of independence
...
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
We propose a method based on sparse representation
(SR) to cluster data drawn from multiple low-dimensional
linear or affine subspaces embedded in a high-dimensional
space. Our ...
Active contours is a popular technique for image segmentation.
However, active contour tend to converge to the
closest local minimum of its energy function and often requires
a ...
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...