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CVPR
2000
IEEE
16 years 6 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
TCSV
2008
153views more  TCSV 2008»
15 years 4 months ago
Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling
This paper addresses the automatic analysis of court-net sports video content. We extract information about the players, the playing-field in a bottom-up way until we reach scene-l...
Jungong Han, Dirk Farin, Peter H. N. de With
CAIP
2005
Springer
220views Image Analysis» more  CAIP 2005»
15 years 10 months ago
Application of Automatic Image Registration in a Segmentation Framework of Pelvic CT Images
In radiation treatment (RT) planning, clinicians must trace the outline of a few critical structures on a large number of images. Using automated image segmentation could save trem...
Attila Tanács, Eörs Máté...
150
Voted
ICASSP
2011
IEEE
14 years 8 months ago
An augmented Lagrangian method for video restoration
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of im...
Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gi...
136
Voted
ICIP
2002
IEEE
16 years 6 months ago
A MAP IIR filter for 3D ultrasound
Bayesian reconstruction methods are slow and have been avoided in 3D ultrasound, since fast algorithms are required. This paper tries to overcome this difficulty by presenting a f...
João M. Sanches, Jorge S. Marques