Quality Assessment of Reconstruction and Relighting from RTI Images: Application to Manufactured Surfaces
Abir Zendagui, Jean‐Baptiste Thomas, Gaëtan Le Goïc, Yuly Castro, Marvin Nurit, Alamin Mansouri, Marius Pedersen · 2019
In this paper, we propose to evaluate the quality of the reconstruction and relighting from images acquired by a Reflectance Transformation Imaging (RTI) device. Three relighting models, namely the PTM, HSH and DMD, are evaluated using PSNR and SSIM. A visual assessment of how the reconstructed surfaces are perceived is also carried out through a sensory experiment. This study allows to estimate the relevance of these models to reproduce the appearance of the manufactured surfaces. It also shows that DMD reproduces the most accurate reconstruction/relighting to an acquired measurement and that a higher sampling density don't mean necessarily a higher perceptual quality.