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.
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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