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» Gradient-Based Methods for Sparse Recovery
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ICCV
2005
IEEE
13 years 11 months ago
Automatic 3D Face Modeling from Video
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tien...
INFOCOM
2010
IEEE
13 years 4 months ago
Compressive Sensing Based Positioning Using RSS of WLAN Access Points
Abstract— The sparse nature of location finding problem makes the theory of compressive sensing desirable for indoor positioning in Wireless Local Area Networks (WLANs). In this...
Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee, Zhe...
ICCV
2011
IEEE
12 years 5 months ago
Unwrapping Low-rank Textures on Generalized Cylindrical Surfaces
In this paper, we show how to reconstruct both 3D shape and 2D texture of a class of surfaces from a single perspective image. We consider the so-called the generalized cylindrica...
Zhengdong Zhang, Xiao Liang, Yi Ma
SIGPRO
2010
135views more  SIGPRO 2010»
13 years 4 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
CVPR
2008
IEEE
14 years 7 months ago
Sequential sparsification for change detection
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented wit...
Necmiye Ozay, Mario Sznaier, Octavia I. Camps