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» A Novel Framework for Imaging Using Compressed Sensing
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PR
2010
170views more  PR 2010»
13 years 7 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
IPMI
2003
Springer
14 years 9 months ago
Meshfree Representation and Computation: Applications to Cardiac Motion Analysis
Abstract. For medical image analysis issues where the domain mappings between images involve large geometrical shape changes, such as the cases of nonrigid motion recovery and inte...
Huafeng Liu, Pengcheng Shi
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
14 years 2 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ECCV
2002
Springer
14 years 10 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
CVPR
2004
IEEE
14 years 11 months ago
Elastic-String Models for Representation and Analysis of Planar Shapes
We develop a new framework for the quantitative analysis of shapes of planar curves. Shapes are modeled on elastic strings that can be bent, stretched or compressed at different r...
Washington Mio, Anuj Srivastava