000185776 001__ 185776
000185776 005__ 20180913061844.0
000185776 020__ $$a978-1-4673-0046-9
000185776 02470 $$2ISI$$a000312381405122
000185776 037__ $$aCONF
000185776 245__ $$aLight Field Compressive Sensing In Camera Arrays
000185776 269__ $$a2012
000185776 260__ $$aNew York$$bIeee$$c2012
000185776 300__ $$a4
000185776 336__ $$aConference Papers
000185776 520__ $$aThis paper presents a novel approach to capture light field in camera arrays based on the compressive sensing framework. Light fields are captured by a linear array of cameras with overlapping field of view. In this work, we design a redundant dictionary to exploit cross-cameras correlated structures to sparsely represent cameras image. Our main contributions are threefold. First, we exploit the correlations between the set of views by making use of a specially designed redundant dictionary. We show experimentally that the projection of complex scenes onto this dictionary yields very sparse coefficients. Second, we propose an efficient compressive encoding scheme based on the random convolution framework [1]. Finally, we develop a joint sparse recovery algorithm for decoding the compressed measurements and show a marked improvement over independent decoding of CS measurements.
000185776 6531_ $$aRedundant Dictionary
000185776 6531_ $$aCompressive Sensing
000185776 6531_ $$aLight Fields
000185776 6531_ $$al(1)-minimization
000185776 700__ $$aKamal, Mahdad Hosseini
000185776 700__ $$0242923$$aGolbabaee, Mohammad$$g171628
000185776 700__ $$0240428$$aVandergheynst, Pierre$$g120906
000185776 7112_ $$aIEEE International Conference on Acoustics, Speech and Signal Processing
000185776 773__ $$q5413-5416$$t2012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)
000185776 909C0 $$0252392$$pLTS2$$xU10380
000185776 909CO $$ooai:infoscience.tind.io:185776$$pconf$$pSTI
000185776 917Z8 $$x120906
000185776 937__ $$aEPFL-CONF-185776
000185776 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000185776 980__ $$aCONF