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» Variational Bayesian image modelling
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CIS
2006
Springer
15 years 3 months ago
Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces
In this paper, we propose a new variational decomposition model which splits an image into two components: a first one containing the structure and a second one the texture or nois...
Min Li, Xiangchu Feng
PAMI
2006
233views more  PAMI 2006»
14 years 11 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...
91
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MICCAI
2004
Springer
15 years 5 months ago
Statistical Shape Modelling of the Levator Ani with Thickness Variation
The levator ani is vulnerable to injury during childbirth and effective surgical intervention requires full knowledge of the morphology and mechanical properties of the muscle stru...
Su-Lin Lee, Paramate Horkaew, Ara Darzi, Guang-Zho...
DAGM
2009
Springer
15 years 4 months ago
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...
Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Da...
CVPR
1999
IEEE
16 years 1 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...