340 search results - page 24 / 68 » SLAM with Sparse Sensing |
125
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
132
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ECCV
2008
Springer
16 years 5 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...
165
Voted
SIAMIS
2011
14 years 10 months ago
2011
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
144
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PERCOM
2009
ACM
15 years 10 months ago
2009
ACM
Abstract—In this paper, we introduce the cellphonebased indirect sensing problem. While participatory sensing aims at monitoring of a phenomenon by deploying a dense set of senso...
119
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...