A Statistical Method for SVBRDF Approximation from Video Sequences in General Lighting Conditions

dc.contributor.authorPalma, Gianpaoloen_US
dc.contributor.authorCallieri, Marcoen_US
dc.contributor.authorDellepiane, Matteoen_US
dc.contributor.authorScopigno, Robertoen_US
dc.contributor.editorFredo Durand and Diego Gutierrezen_US
dc.date.accessioned2015-02-28T07:36:02Z
dc.date.available2015-02-28T07:36:02Z
dc.date.issued2012en_US
dc.description.abstractWe present a statistical method for the estimation of the Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) of an object with complex geometry, starting from video sequences acquired with fixed but general lighting conditions. The aim of this work is to define a method that simplifies the acquisition phase of the object surface appearance and allows to reconstruct an approximated SVBRDF. The final output is suitable to be used with a 3D model of the object to obtain accurate and photo-realistic renderings. The method is composed by three steps: the approximation of the environment map of the acquisition scene, using the same object as a probe; the estimation of the diffuse color of the object; the estimation of the specular components of the main materials of the object, by using a Phong model. All the steps are based on statistical analysis of the color samples projected by the video sequences on the surface of the object. Although the method presents some limitations, the trade-off between the easiness of acquisition and the obtained results makes it useful for practical applications.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume31
dc.identifier.doi10.1111/j.1467-8659.2012.03145.x
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2012.03145.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectComputer Graphicsen_US
dc.subjectThree Dimensional Graphics and Realism [I.3.7]en_US
dc.subjectColoren_US
dc.subjectshadingen_US
dc.subjectshadowingen_US
dc.subjectand textureen_US
dc.subjectImage Processing and Computer Visionen_US
dc.subjectDigitization and Image Capture [I.4.1]en_US
dc.subjectReflectanceen_US
dc.titleA Statistical Method for SVBRDF Approximation from Video Sequences in General Lighting Conditionsen_US
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