Quality assessment of dynamic virtual relighting from RTI data: application to the inspection of engineering  surfaces

Abir Zendagui; Gaëtan Le Goïc; Hermine Chatoux; Jean-Baptiste Thomas; Yuly Castro; Marvin Nurit; Alamin Mansouri

doi:10.1117/12.2589178

16 July 2021 Quality assessment of dynamic virtual relighting from RTI data: application to the inspection of engineering surfaces

Abir Zendagui, Gaëtan Le Goïc, Hermine Chatoux, Jean-Baptiste Thomas, Yuly Castro, Marvin Nurit, Alamin Mansouri

Author Affiliations +

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 117940E (2021) https://doi.org/10.1117/12.2589178
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

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

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Abir Zendagui, Gaëtan Le Goïc, Hermine Chatoux, Jean-Baptiste Thomas, Yuly Castro, Marvin Nurit, and Alamin Mansouri "Quality assessment of dynamic virtual relighting from RTI data: application to the inspection of engineering surfaces", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 117940E (16 July 2021); https://doi.org/10.1117/12.2589178

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