000118898 001__ 118898
000118898 005__ 20240319081003.0
000118898 0247_ $$2doi$$a10.1145/3528223.3530075
000118898 0248_ $$2sideral$$a130307
000118898 037__ $$aART-2022-130307
000118898 041__ $$aeng
000118898 100__ $$aHwang, I.
000118898 245__ $$aSparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photography
000118898 260__ $$c2022
000118898 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118898 5203_ $$aEllipsometry techniques allow to measure polarization information of materials, requiring precise rotations of optical components with different configurations of lights and sensors. This results in cumbersome capture devices, carefully calibrated in lab conditions, and in very long acquisition times, usually in the order of a few days per object. Recent techniques allow to capture polarimetric spatially-varying reflectance information, but limited to a single view, or to cover all view directions, but limited to spherical objects made of a single homogeneous material. We present sparse ellipsometry, a portable polarimetric acquisition method that captures both polarimetric SVBRDF and 3D shape simultaneously. Our handheld device consists of off-the-shelf, fixed optical components. Instead of days, the total acquisition time varies between twenty and thirty minutes per object. We develop a complete polarimetric SVBRDF model that includes diffuse and specular components, as well as single scattering, and devise a novel polarimetric inverse rendering algorithm with data augmentation of specular reflection samples via generative modeling. Our results show a strong agreement with a recent ground-truth dataset of captured polarimetric BRDFs of real-world objects.
000118898 536__ $$9info:eu-repo/grantAgreement/ES/DGA/LMP30-21$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-105004GB-I00
000118898 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118898 590__ $$a6.2$$b2022
000118898 592__ $$a3.697$$b2022
000118898 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b11 / 108 = 0.102$$c2022$$dQ1$$eT1
000118898 593__ $$aComputer Graphics and Computer-Aided Design$$c2022$$dQ1
000118898 594__ $$a14.9$$b2022
000118898 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118898 700__ $$aJeon, D. S.
000118898 700__ $$0(orcid)0000-0002-8160-7159$$aMuñoz, A.$$uUniversidad de Zaragoza
000118898 700__ $$0(orcid)0000-0002-7503-7022$$aGutiérrez, D.$$uUniversidad de Zaragoza
000118898 700__ $$aTong, X.
000118898 700__ $$aKim, M. H.
000118898 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000118898 773__ $$g41, 4 (2022), 133 [14 pp.]$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301
000118898 8564_ $$s9260143$$uhttps://zaguan.unizar.es/record/118898/files/texto_completo.pdf$$yVersión publicada
000118898 8564_ $$s2609520$$uhttps://zaguan.unizar.es/record/118898/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118898 909CO $$ooai:zaguan.unizar.es:118898$$particulos$$pdriver
000118898 951__ $$a2024-03-18-14:20:03
000118898 980__ $$aARTICLE