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IJCV
2006
227views more  IJCV 2006»
13 years 8 months ago
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...
ICASSP
2011
IEEE
13 years 15 days ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
CAIP
2003
Springer
244views Image Analysis» more  CAIP 2003»
14 years 2 months ago
Real-Time Optic Flow Computation with Variational Methods
Abstract. Variational methods for optic flow computation have the reputation of producing good results at the expense of being too slow for real-time applications. We show that re...
Andrés Bruhn, Joachim Weickert, Christian F...
JMLR
2007
137views more  JMLR 2007»
13 years 8 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
JSCIC
2007
165views more  JSCIC 2007»
13 years 8 months ago
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration
Image restoration has been an active research topic and variational formulations are particularly effective in high quality recovery. Although there exist many modelling and theore...
Ke Chen 0002, Xue-Cheng Tai