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.
|Title of host publication||Proceedings of International Conference on Computer Vision (ICCV 2017)|
|Number of pages||10|
|Publication status||Published - 2017|
|Event||International Conference on Computer Vision Workshop (ICCVW 2017) - Venice, Italy|
Duration: 22 Oct 2017 → 29 Oct 2017
|Conference||International Conference on Computer Vision Workshop (ICCVW 2017)|
|Period||22/10/2017 → 29/10/2017|