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» Feature versus model based noise robustness
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MIA
2010
170views more  MIA 2010»
13 years 2 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
SGP
2007
13 years 10 months ago
Reconstruction of deforming geometry from time-varying point clouds
In this paper, we describe a system for the reconstruction of deforming geometry from a time sequence of unstructured, noisy point clouds, as produced by recent real-time range sc...
Michael Wand, Philipp Jenke, Qi-Xing Huang, Martin...
DSP
2006
13 years 7 months ago
On the application of cross correlation function to subsample discrete time delay estimation
Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
Lei Zhang 0006, Xiaolin Wu
IJCV
2006
206views more  IJCV 2006»
13 years 7 months ago
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
Nils Papenberg, Andrés Bruhn, Thomas Brox, ...
IJNM
2000
91views more  IJNM 2000»
13 years 7 months ago
Coding-based schemes for fault identification in communication networks
The complexity of communication networks and the amount of information transferred in these networks have made the management of such networks increasingly difficult. Since faults ...
Chi-Chun Lo, Shing Hong Chen, Bon-Yeh Lin