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DAGM
2008
Springer
13 years 9 months ago
Physically Consistent Variational Denoising of Image Fluid Flow Estimates
Abstract. High-speed image measurements of fluid flows define an important field of research in experimental fluid mechanics and the related industry. Numerous competing methods ha...
Andrey Vlasenko, Christoph Schnörr
ICONIP
2004
13 years 9 months ago
Variational Information Maximization for Neural Coding
Abstract. Mutual Information (MI) is a long studied measure of coding efficiency, and many attempts to apply it to population coding have been made. However, this is a computationa...
Felix V. Agakov, David Barber
TIP
2010
165views more  TIP 2010»
13 years 2 months ago
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates
Imaging plays an important role in experimental fluid dynamics. It is equally important both for scientific research and a range of industrial applications. It is known, however, t...
Andrey Vlasenko, Christoph Schnörr
CVPR
2007
IEEE
14 years 10 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
AFRIGRAPH
2006
ACM
14 years 2 months ago
Free-form modelling for surface inpainting
In this paper, we describe a novel approach to 3D shape modelling, targeting at the reconstruction and repair of digitised models – a task that is frequently encountered in part...
Gerhard H. Bendels, Michael Guthe, Reinhard Klein