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» An accelerated gradient method for trace norm minimization
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SMA
2006
ACM
150views Solid Modeling» more  SMA 2006»
14 years 19 days ago
Conformal virtual colon flattening
We present an efficient colon flattening algorithm using conformal structure, which is angle-preserving and minimizes the global distortion. Moreover, our algorithm is general w...
Wei Hong, Xianfeng Gu, Feng Qiu, Miao Jin, Arie E....
IPCV
2007
13 years 8 months ago
Nonconvex Regularization for Image Segmentation
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...
Rick Chartrand, Valentina Staneva
ICIP
1998
IEEE
14 years 8 months ago
Accelerated Monotonic Algorithms for Transmission Tomography
We present a framework for designing fast and monotonic algorithms for transmission tomography penalizedlikelihood image reconstruction. The new algorithms are based on paraboloid...
Hakan Erdogan, Jeffrey A. Fessler
ICIP
2004
IEEE
14 years 8 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ECCV
2010
Springer
13 years 5 months ago
Hybrid Compressive Sampling via a New Total Variation TVL1
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
Xianbiao Shu, Narendra Ahuja