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 introduce a new hybrid approach for spline-based elastic image registration using both point landmarks and intensity information. As underlying deformation model we use Gaussian...
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...
We study the scenario of a multiview setting, where several
calibrated views of a textured object with known surface
geometry are available. The objective is to estimate a
diffu...
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...