A Variational Study on BRDF Reconstruction in a Structured Light Scanner

Jannik Boll Nielsen, Jonathan Dyssel Stets, Rasmus Ahrenkiel Lyngby, Henrik Aanaes, Anders Bjorholm Dahl, Jeppe Revall Frisvad; The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 143-152

Abstract


Time-efficient acquisition of reflectance behavior together with surface geometry is a challenging problem. In this study, we investigate the impact of system parameter uncertainties when incorporating a data-driven BRDF reconstruction approach into the standard pipeline of a structured light scanning system. The parameters investigated include geometric detail of scanned objects; vertex positions and normals; and position and intensity of light sources. To have full control of uncertainties, experiments are carried out in a simulated environment, mimicking an actual structured light scanning setup. Results show that while uncertainties in vertex positions and normals have a high impact on the quality of reconstructed BRDFs, object geometry and light source properties have very little influence on the reconstructed BRDFs. With this analysis, practitioners now have insight in the tolerances required for accurate BRDF acquisition to work.

Related Material


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[bibtex]
@InProceedings{Nielsen_2017_ICCV,
author = {Boll Nielsen, Jannik and Dyssel Stets, Jonathan and Ahrenkiel Lyngby, Rasmus and Aanaes, Henrik and Bjorholm Dahl, Anders and Revall Frisvad, Jeppe},
title = {A Variational Study on BRDF Reconstruction in a Structured Light Scanner},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}