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

doi:10.1109/ICCVW.2017.25

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 language	English
Title of host publication	Proceedings of International Conference on Computer Vision (ICCV 2017)
Number of pages	10
Publisher	IEEE
Publication date	2017
Pages	143-152
DOIs	https://doi.org/10.1109/ICCVW.2017.25
Publication status	Published - 2017
Event	International Conference on Computer Vision Workshop (ICCVW 2017) - Venice, Italy Duration: 22 Oct 2017 → 29 Oct 2017 http://iccv2017.thecvf.com/

Conference

Conference	International Conference on Computer Vision Workshop (ICCVW 2017)
Country/Territory	Italy
City	Venice
Period	22/10/2017 → 29/10/2017
Internet address	http://iccv2017.thecvf.com/

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title = "A variational study on BRDF reconstruction in a structured light scanner",

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.",

author = "Nielsen, {Jannik Boll} and Stets, {Jonathan Dyssel} and Lyngby, {Rasmus Ahrenkiel} and Henrik Aan{\ae}s and Dahl, {Anders Bjorholm} and Frisvad, {Jeppe Revall}",

year = "2017",

doi = "10.1109/ICCVW.2017.25",

language = "English",

pages = "143--152",

booktitle = "Proceedings of International Conference on Computer Vision (ICCV 2017)",

publisher = "IEEE",

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note = "International Conference on Computer Vision Workshop (ICCVW 2017), ICCVW 2017 ; Conference date: 22-10-2017 Through 29-10-2017",

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Nielsen, JB, Stets, JD, Lyngby, RA, Aanæs, H, Dahl, AB & Frisvad, JR 2017, A variational study on BRDF reconstruction in a structured light scanner. in Proceedings of International Conference on Computer Vision (ICCV 2017). IEEE, pp. 143-152, International Conference on Computer Vision Workshop (ICCVW 2017), Venice, Italy, 22/10/2017. https://doi.org/10.1109/ICCVW.2017.25

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T1 - A variational study on BRDF reconstruction in a structured light scanner

AU - Nielsen, Jannik Boll

AU - Stets, Jonathan Dyssel

AU - Lyngby, Rasmus Ahrenkiel

AU - Aanæs, Henrik

AU - Dahl, Anders Bjorholm

AU - Frisvad, Jeppe Revall

PY - 2017

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N2 - 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.

AB - 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.

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DO - 10.1109/ICCVW.2017.25

M3 - Article in proceedings

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BT - Proceedings of International Conference on Computer Vision (ICCV 2017)

PB - IEEE

T2 - International Conference on Computer Vision Workshop (ICCVW 2017)

Y2 - 22 October 2017 through 29 October 2017

ER -

A variational study on BRDF reconstruction in a structured light scanner

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