Conference paper
A variational study on BRDF reconstruction in a structured light scanner
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.
Language: | English |
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Publisher: | IEEE |
Year: | 2017 |
Pages: | 143-152 |
Proceedings: | International Conference on Computer Vision Workshop (ICCVW 2017) |
ISBN: | 1538610345 , 1538610353 , 9781538610343 and 9781538610350 |
ISSN: | 24739944 |
Types: | Conference paper |
DOI: | 10.1109/ICCVW.2017.25 |
ORCIDs: | Stets, Jonathan Dyssel , Aanæs, Henrik , Dahl, Anders Bjorholm and Frisvad, Jeppe Revall |
BRDF reconstruction BRDF reconstruction approach Cameras Geometry Image reconstruction Light sources Pipelines Three-dimensional displays Uncertainty accurate BRDF acquisition actual structured light scanning setup image reconstruction light source properties light sources object geometry realistic images reflectance behavior reflectivity rendering (computer graphics) scanned objects simulated environment solid modelling structured light scanner structured light scanning system surface geometry system parameter uncertainties time-efficient acquisition variational study vertex positions