Compressive Higher-order Sparse and Low-Rank Acquisition with a Hyperspectral Light Stage

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dc.contributor.author Ajdin, Boris de_DE
dc.contributor.author Finckh, Manuel de_DE
dc.contributor.author Fuchs, Christian de_DE
dc.contributor.author Hanika, Johannes de_DE
dc.contributor.author Lensch, Hendrik P. A. de_DE
dc.date.accessioned 2012-05-09 de_DE
dc.date.accessioned 2014-03-17T11:33:36Z
dc.date.available 2012-05-09 de_DE
dc.date.available 2014-03-17T11:33:36Z
dc.date.issued 2012 de_DE
dc.identifier.other 364951257 de_DE
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-62077 de_DE
dc.identifier.uri http://hdl.handle.net/10900/44129
dc.description.abstract Compressive sparse and low-rank recovery (CSLR) is a novel method for compressed sensing deriving a low-rank and a sparse data terms from randomized projection measurements. While previous approaches either applied compressive measurements to phenomena assumed to be sparse or explicitly assume and measure low-rank approximations, CSLR is inherently robust if any such assumption might be violated. In this paper, we will derive CSLR using Fixed-Point Continuation algorithms, and extend this approach in order to exploit the correlation in high-order dimensions to further reduce the number of captured samples. Though generally applicable, we demonstrate the effectiveness of our approach on data sets captured with a novel hyperspectral light stage that can emit a distinct spectrum from each of the 196 light source directions enabling bispectral measurements of reflectance from arbitrary viewpoints. Bispectral reflectance fields and BTFs are faithfully reconstructed from a small number of compressed measurements. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Computergraphik de_DE
dc.subject.ddc 004 de_DE
dc.subject.other Reflectance , Sampling , Scanning , Multispectral , Hyperspectral , BRDF , BTF , Lightstage en
dc.title Compressive Higher-order Sparse and Low-Rank Acquisition with a Hyperspectral Light Stage en
dc.type Report de_DE
dc.date.updated 2012-10-11 de_DE
utue.publikation.fachbereich Sonstige/Externe de_DE
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fakultaet 9 Sonstige / Externe de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
dcterms.DCMIType Text de_DE
utue.publikation.typ report de_DE
utue.opus.id 6207 de_DE
utue.opus.portal wsi de_DE
utue.opus.portalzaehlung 2012.01000 de_DE
utue.publikation.source WSI ; 2012 ; 01 de_DE
utue.publikation.reihenname WSI-Reports - Schriftenreihe des Wilhelm-Schickard-Instituts für Informatik de_DE
utue.publikation.zsausgabe 2012, 1
utue.publikation.erstkatid 2919855-0

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