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» Dense Range Image Smoothing Using Adaptive Regularization
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ICIAR
2010
Springer
13 years 4 months ago
Adaptive Regularization Parameter for Graph Cut Segmentation
Abstract. Graph cut minimization formulates the segmentation problem as the liner combination of data and smoothness terms. The smoothness term is included in the energy formulatio...
Sema Candemir, Yusuf Sinan Akgul
IJCV
1998
103views more  IJCV 1998»
13 years 5 months ago
Dense Non-Rigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is energy-minimizing on the space of correspondence...
Serge Benayoun, Nicholas Ayache
ECCV
2000
Springer
14 years 8 months ago
Regularised Range Flow
Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how...
Bernd Jähne, Hagen Spies, John L. Barron
ICIP
2003
IEEE
13 years 11 months ago
Perceptual regularization functionals for natural image restoration
Regularization constraints are necessary in inverse problems such as image restoration, optical flow computation or shape from shading to avoid the singularities in the solution....
Juan Gutierrez, Jesus Malo, Francesc J. Ferri
CVPR
1996
IEEE
14 years 8 months ago
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global ...
Shanon X. Ju, Michael J. Black, Allan D. Jepson