This paper presents a user-guided procedure for transferring chromatic information from historical images to modern 3D point clouds. The method, developed as an evolution of previous approaches, involves the orientation of the point cloud according to the historical viewpoint, the generation of a synthetic perspective image, the selection of homologous points, and the application of a twodimensional affine transformation, followed by back-projection of color information onto the point cloud. In addition, the method incorporates quantitative criteria for assessing alignment quality, based on residual analysis and the identification of outliers using statistical thresholds The software pipeline is implemented in MATLAB and is modular, consisting of three independent scripts PreCloud,...