BRDF Reconstruction Using Compressive Sensing

dc.contributor.authorSeylan, Nurcan
dc.contributor.authorErgun, Serkan
dc.contributor.authorOzturk, Aydin
dc.contributor.editorOliveira, MM
dc.contributor.editorSkala, V
dc.date.accessioned2019-10-27T21:55:43Z
dc.date.available2019-10-27T21:55:43Z
dc.date.issued2013
dc.departmentEge Üniversitesien_US
dc.description21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision -- JUN 24-27, 2013 -- Pilsen, CZECH REPUBLICen_US
dc.description.abstractCompressive sensing is a technique for efficiently acquiring and reconstructing the data. This technique takes advantage of sparseness or compressibility of the data, allowing the entire measured data to be recovered from relatively few measurements. Considering the fact that the BRDF data often can be highly sparse, we propose to employ the compressive sensing technique for an efficient reconstruction. We demonstrate how to use compressive sensing technique to facilitate a fast procedure for reconstruction of large BRDF data. We have showed that the proposed technique can also be used for the data sets having some missing measurements. Using BRDF measurements of various isotropic materials, we obtained high quality images at very low sampling rates both for diffuse and glossy materials. Similar results also have been obtained for the specular materials at slightly higher sampling rates.en_US
dc.identifier.endpage94en_US
dc.identifier.isbn978-80-86943-74-9
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage88en_US
dc.identifier.urihttps://hdl.handle.net/11454/48265
dc.identifier.wosWOS:000399864900010en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherUnion Agency Science Pressen_US
dc.relation.ispartofWscg 2013, Full Papers Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBRDF reconstructionen_US
dc.subjectcompressive sensingen_US
dc.titleBRDF Reconstruction Using Compressive Sensingen_US
dc.typeConference Objecten_US

Dosyalar