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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Published in:Computer graphics forum Vol. 31; no. 4; pp. 1491 - 1500
Main Authors: Palma, Gianpaolo, Callieri, Marco, Dellepiane, Matteo, Scopigno, Roberto
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.06.2012
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ISSN:0167-7055, 1467-8659
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Abstract 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.
AbstractList 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.
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. [PUBLICATION ABSTRACT]
Author Palma, Gianpaolo
Scopigno, Roberto
Dellepiane, Matteo
Callieri, Marco
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  organization: Visual Computing Lab, ISTI-CNR, Pisa, Italy
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Snippet We present a statistical method for the estimation of the Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) of an object with complex...
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SubjectTerms 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
Title A Statistical Method for SVBRDF Approximation from Video Sequences in General Lighting Conditions
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https://www.proquest.com/docview/1494345131
Volume 31
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