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

Autor: Marvin Nurit, Yuly Castro, Alamin Mansouri, Jean-Baptiste Thomas, Gaëtan Le Goïc, Abir Zendagui, Hermine Chatoux
Rok vydání: 2021
Předmět:
Zdroj: Fifteenth International Conference on Quality Control by Artificial Vision.
Popis: 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
Databáze: OpenAIRE