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. 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. The proposed method, namely HD-RTI, is based on the coupling of RTI and HDR imaging techniques. This coupling is carried out adaptively according to the response at each angle of illumination. 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. 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. 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.

反射变换成像 (RTI) 是一种用于从一组以可变照明方向捕获的立体光度图像估计表面局部角反射的技术。此信息的数字化完全符合工业 4.0 方法，并且可以表征表面的视觉特性。所提出的方法，即 HD-RTI，基于 RTI 和 HDR 成像技术的耦合。这种耦合是根据每个照明角度的响应自适应地进行的。所提出的方法应用于五个工业样品，这些样品由于几何纹理和/或材料的异质性而具有很高的反射率局部变化。结果表明，与 RTI 相比，耦合 HDR 和 RTI 提高了重新照明质量，并使所提出​​的方法特别适用于光滑和异质表面。此外，HD-RTI 显着增强了局部角反射率的表征，这导致了更具辨别力的视觉显着图，并且更普遍地增加了视觉质量评估任务的鲁棒性。