71 search results - page 6 / 15 » Sparse Signal Recovery Using Markov Random Fields |
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper introduces a framework for long-distance face recognition using dense and sparse stereo reconstruction, with texture of the facial region. Two methods to determine corr...
FGR
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...