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112
Voted
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 4 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
162
Voted
CORR
2011
Springer
282views Education» more  CORR 2011»
14 years 11 months ago
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
Stanley Osher, Yu Mao, Bin Dong, Wotao Yin
ICASSP
2011
IEEE
14 years 7 months ago
Incoherent color frames for compressive demosaicing
In this paper, we explore the notion of using frames to project sensed colors within their inherently 3D space onto a larger number of color basis vectors. In particular, we devel...
Abdolreza Abdolhosseini Moghadam, Mohammad Aghagol...
143
Voted
CVPR
2009
IEEE
1037views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Piecewise Planar City 3D Modeling from Street View Panoramic Sequences
City environments often lack textured areas, contain repetitive structures, strong lighting changes and therefore are very difficult for standard 3D modeling pipelines. We prese...
Branislav Micusík, Jana Kosecka
CVPR
2006
IEEE
16 years 6 months ago
The Panum Proxy Algorithm for Dense Stereo Matching over a Volume of Interest
Stereo matching algorithms conventionally match over a range of disparities sufficient to encompass all visible 3D scene points. Human vision however does not do this. It works ov...
Ankur Agarwal, Andrew Blake