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» On Sparsity and Overcompleteness in Image Models
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FGR
2011
IEEE
201views Biometrics» more  FGR 2011»
12 years 11 months ago
Sparse shape registration for occluded facial feature localization
Abstract— This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locati...
Fei Yang, Junzhou Huang, Dimitris N. Metaxas
TMI
2010
298views more  TMI 2010»
13 years 2 months ago
An Efficient Numerical Method for General Lp Regularization in Fluorescence Molecular Tomography
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
Jean-Charles Baritaux, Kai Hassler, Michael Unser
CVPR
2005
IEEE
14 years 9 months ago
Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors
We optimize over the set of corrected laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, o...
David Tolliver, Gary L. Miller, Robert T. Collins
COMPGEOM
2009
ACM
14 years 2 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
CVPR
2011
IEEE
13 years 3 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman