In this paper we suggest a new approach for recovering 3-D depth from a field of surface normals. The surface normals are extracted from Synthetic Aperture Radar (SAR) images usin...
This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are estimated from videos. ...
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 present an unsupervised image registration algorithm to estimate the background object motion in a real video sequence. The algorithm is based on a Gaussian minimisation techni...
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
Juan Ruiz-Alzola, Carl-Fredrik Westin, Simon K. Wa...