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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»
15 years 5 months 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
15 years 1 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
16 years 1 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
16 years 1 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
14 years 10 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