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ECCV
2010
Springer
13 years 8 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
PR
2011
13 years 2 months ago
Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization
Non-blind motion deblurring problems are highly ill-posed and so it is quite difficult to find the original sharp and clean image. To handle ill-posedness of the motion deblurrin...
Sangwoon Yun, Hyenkyun Woo
CVPR
2010
IEEE
14 years 4 months ago
Fast Global Optimization of Curvature
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpain...
Noha El-Zehiry, Leo Grady
TIP
2010
160views more  TIP 2010»
13 years 2 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...
ICCV
2007
IEEE
14 years 9 months ago
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substa...
Christopher Zach, Thomas Pock, Horst Bischof