000085405 001__ 85405
000085405 005__ 20200117221631.0
000085405 0247_ $$2doi$$a10.1145/3272127.3275017
000085405 0248_ $$2sideral$$a110534
000085405 037__ $$aART-2018-110534
000085405 041__ $$aeng
000085405 100__ $$aNam, G.
000085405 245__ $$aPractical SVBRDF Acquisition of 3D Objects with Unstructured Flash Photography
000085405 260__ $$c2018
000085405 5060_ $$aAccess copy available to the general public$$fUnrestricted
000085405 5203_ $$aCapturing spatially-varying bidirectional reflectance distribution functions (SVBRDFs) of 3D objects with just a single, hand-held camera (such as an off-the-shelf smartphone or a DSLR camera) is a difficult, open problem. Previous works are either limited to planar geometry, or rely on previously scanned 3D geometry, thus limiting their practicality. There are several technical challenges that need to be overcome: First, the built-in flash of a camera is almost colocated with the lens, and at a fixed position; this severely hampers sampling procedures in the light-view space. Moreover, the near-field flash lights the object partially and unevenly. In terms of geometry, existing multiview stereo techniques assume diffuse reflectance only, which leads to overly smoothed 3D reconstructions, as we show in this paper. We present a simple yet powerful framework that removes the need for expensive, dedicated hardware, enabling practical acquisition of SVBRDF information from real-world, 3D objects with a single, off-the-shelf camera with a built-in flash. In addition, by removing the diffuse reflection assumption and leveraging instead such SVBRDF information, our method outputs high-quality 3D geometry reconstructions, including more accurate high-frequency details than state-of-the-art multiview stereo techniques. We formulate the joint reconstruction of SVBRDFs, shading normals, and 3D geometry as a multi-stage, iterative inverse-rendering reconstruction pipeline. Our method is also directly applicable to any existing multiview 3D reconstruction technique. We present results of captured objects with complex geometry and reflectance; we also validate our method numerically against other existing approaches that rely on dedicated hardware, additional sources of information, or both.
000085405 536__ $$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P
000085405 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000085405 590__ $$a6.495$$b2018
000085405 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b1 / 107 = 0.009$$c2018$$dQ1$$eT1
000085405 592__ $$a2.272$$b2018
000085405 593__ $$aComputer Graphics and Computer-Aided Design$$c2018$$dQ1
000085405 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000085405 700__ $$aLee, J.H.
000085405 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, D.$$uUniversidad de Zaragoza
000085405 700__ $$aKim, M.H.
000085405 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000085405 773__ $$g37, 6 (2018), 267 [12 pp]$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301
000085405 8564_ $$s989745$$uhttps://zaguan.unizar.es/record/85405/files/texto_completo.pdf$$yPostprint
000085405 8564_ $$s96339$$uhttps://zaguan.unizar.es/record/85405/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000085405 909CO $$ooai:zaguan.unizar.es:85405$$particulos$$pdriver
000085405 951__ $$a2020-01-17-21:59:52
000085405 980__ $$aARTICLE