Quality assessment of dynamic virtual relighting from RTI data: application to the inspection of engineering surfaces
Affiliation auteurs | !!!! Error affiliation !!!! |
Titre | Quality assessment of dynamic virtual relighting from RTI data: application to the inspection of engineering surfaces |
Type de publication | Conference Paper |
Year of Publication | 2021 |
Auteurs | Zendagui A, Le Goic G, Chatoux H, Thomas J-B, Jochum P., Maniglier S., Castro Y, Nurit M, Mansouri A |
Editor | Terada K, Nakamura A, Komuro T, Shimizu T |
Conference Name | FIFTEENTH INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION |
Publisher | Japan Soc Precis Engn, Tech Comm Ind Applicat Image Proc |
Conference Location | 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA |
ISBN Number | 978-1-5106-4427-4 |
Mots-clés | Material appearance, Psychometric evaluation, Reflectance Transformation Imaging, Visual assessment |
Résumé | This paper aims to evaluate the visual quality of the dynamic relighting of manufactured surfaces from Reflectance Transformation Imaging acquisitions. The first part of the study aimed to define the optimum parameters of acquisition using the RTI system: Exposure time, Gain, Sampling density. The second part is the psychometric experiment using the Design of Experiments approach. The results of this study help us to determine the influence of the parameters associated with the acquisition of Reflectance Transformation Imaging data, the models associated with relighting, and the dynamic perception of the resulting videos. |
DOI | 10.1117/12.2589178 |