Parmi les approches photométriques, l'une d'elle connaît un essor important: le Reflectance Transformation Imaging (RTI). Seul quelques cas spécifiques utilisent une approche instrumentale ou photométrique. Or, en entreprise, la qualité des surfaces est souvent évaluée par des contrôleurs humains. La maitrise de la perception visuelle des surfaces des produits manufacturées est un enjeu central pour l'industrie.
Moreover, HD-RTI enhances significantly the characterization of the local angular reflectance, which leads to more discriminating visual saliency maps, and more generally to an increase in robustness for visual quality assessment tasks. Results show that coupling HDR and RTI improves the relighting quality compared to RTI, and makes the proposed approach particularly relevant for glossy and heterogeneous surfaces. The proposed method is applied to five industrial samples which have high local variations of reflectivity because of their heterogeneity of geometric texture and/or material. This coupling is carried out adaptively according to the response at each angle of illumination. The proposed method, namely HD-RTI, is based on the coupling of RTI and HDR imaging techniques. The digitization of this information fully fits into the industry 4.0 approach and makes it possible to characterize the visual properties of a surface.
Reflectance Transformation Imaging (RTI) is a technique for estimating surface local angular reflectance from a set of stereo-photometric images captured with variable lighting directions.
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