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» Modeling non-gaussian noise for robust image analysis
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ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
TMI
2002
118views more  TMI 2002»
13 years 7 months ago
Phase-Based Multidimensional Volume Registration
Abstract-- We present a method for accurate image registration and motion compensation in multidimensional signals, such as 2D X-ray images and 3D CT/MRI volumes. The method is bas...
Magnus Hemmendorff, Mats T. Andersson, Torbjö...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 1 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
BMVC
1998
13 years 9 months ago
A Bi-Directional Integrated Model for Non-Rigid Motion Analysis
To be able to understand the motion of deformable objects, techniques in image processing and computer vision are essential for non-rigid motion analysis in this active research a...
Chunyen Liu
MICCAI
2010
Springer
13 years 6 months ago
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these...
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Ra...