169 search results - page 20 / 34 » Linear Projective Reconstruction from Matching Tensors |
132
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DCC
2010
IEEE
15 years 11 months ago
2010
IEEE
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
161
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FGR
2008
IEEE
15 years 10 months ago
2008
IEEE
Partial occlusions in face images pose a great problem for most face recognition algorithms. Several solutions to this problem have been proposed over the years – ranging from d...
159
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ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
172
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
220
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GIS
2009
ACM
16 years 5 months ago
2009
ACM
A common problem in moving object databases (MOD) is the reconstruction of a trajectory from a trajectory sample (i.e., a finite sequence of time-space points). A typical solution...