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

We 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...

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Vydáno v:	Computer graphics forum Ročník 31; číslo 4; s. 1491 - 1500
Hlavní autoři:	Palma, Gianpaolo, Callieri, Marco, Dellepiane, Matteo, Scopigno, Roberto
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford, UK Blackwell Publishing Ltd 01.06.2012
Témata:	Acquisitions and texture Approximation Computer graphics Computer Graphics -Three-Dimensional Graphics and Realism [I.3.7]: Color Computer Graphics ‐Three‐Dimensional Graphics and Realism [I.3.7]: Color, shading, shadowing, and texture Image Processing and Computer Vision - Digitization and Image Capture [I.4.1]: Reflectance shading shadowing Statistical methods Studies
ISSN:	0167-7055, 1467-8659
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Shrnutí:	We 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.
Bibliografie:	ArticleID:CGF3145 ark:/67375/WNG-JKQCP3HN-4 istex:F8A9BC090AF775EF3CCAB9D458FD752AFA9399B0 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
ISSN:	0167-7055 1467-8659
DOI:	10.1111/j.1467-8659.2012.03145.x