A variational study on BRDF reconstruction in a structured light scanner

Jannik Boll Nielsen, Jonathan Dyssel Stets, Rasmus Ahrenkiel Lyngby, Henrik Aanæs, Anders Bjorholm Dahl, Jeppe Revall Frisvad

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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.
Original languageEnglish
Title of host publicationProceedings of International Conference on Computer Vision (ICCV 2017)
Number of pages10
PublisherIEEE
Publication date2017
Pages143-152
DOIs
Publication statusPublished - 2017
EventInternational Conference on Computer Vision Workshop (ICCVW 2017) - Venice, Italy
Duration: 22 Oct 201729 Oct 2017
http://iccv2017.thecvf.com/

Conference

ConferenceInternational Conference on Computer Vision Workshop (ICCVW 2017)
CountryItaly
CityVenice
Period22/10/201729/10/2017
Internet address

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