Among people working with cultural heritage objects, the ability to make the best possible copies has always been one of the important topics. In recent years, the development of techniques that make it possible to make three-dimensional documentation of heritage objects and the capabilities of software that controls cutter machines have made it possible to make material copies in wood, among other things. Unfortunately, the lack of standards for the creation of three-dimensional documentation, as well as the relatively unique nature of this type of release, translate into a lack of common understanding of the real possibilities and limitations of these technologies. What is needed is an analysis of the path of execution of this type of project, which would discuss the planned exhibition or educational goals, the assumed technological parameters achieved in the course of implementation and an evaluation of the results achieved. The accumulation of such results will not only help facilitate the implementation of future projects, but will also be the first step towards the creation of standards and quality norms for this type of product.
By combining terrestrial panorama images and aerial imagery, or using LiDAR, large 3D point clouds can be generated for 3D city modeling. We describe an algorithm for change detection in point clouds, including three new contributions: change detection for LOD2 models compared to 3D point clouds, the application of detected changes for creating extended and textured LOD2 models, and change detection between point clouds of different years. Overall, LOD2 model-to-point-cloud changes are reliably found in practice, and the algorithm achieves a precision of 0.955 and recall of 0.983 on a synthetic dataset. Despite not having a watertight model, texturing results are visually promising, improving over directly textured LOD2 models.