Quality assessment of reconstruction and relighting from RTI images: application to manufactured surfaces
Résumé
In this paper, we propose to evaluate the quality of the reconstruction and relighting, from images acquired by Reflectance Transformation Imaging (RTI) device, of three largely used state-of-art methods, namely PTM, HSH and DMD. We evaluate these methods with regards to an objective evaluation using PSNR and SSIM as well as visual assessment through a sensory (visual) assessment, which is still today the reference in the industry. The evaluation was also carried out with regards to different sampling densities. This study allows to estimate the efficiency of these models to reproduce the aspect of the manufactured surfaces with relevant input parameters for the RTI approach. 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.
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