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CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
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 ...
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
Efficient segmentation of globally optimal surfaces in volumetric images is a central problem in many medical image analysis applications. Intra-class variance has been successful...
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
ACCV
2006
Springer
14 years 3 months ago
2006
Springer
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
ECCV
2002
Springer
14 years 11 months ago
2002
Springer
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...