An interactive method for adaptive acquisition in Reflectance Transformation Imaging for cultural heritage

This paper investigates the optimization of acquisition in Reflectance Transformation Imaging (RTI). Current methods for RTI acquisition are either computationally expensive or impractical, which leads to continued reliance on conventional classical methods like homogenous equally spaced methods in museums. We propose a methodology that is aimed at dynamic collaboration between automated analysis and cultural heritage expert knowledge to obtain optimized light positions. Our approach is cost-effective and adaptive to both linear and non-linear reflectance profile scenarios. The practical contribution of research in this field has a considerable impact on the cultural heritage context and beyond.