Abstract
3D modeling of objects such as statues, moldings or ornaments, answers to a need of documentation and analysis in the field of cultural heritage. Several sensors based on different technologies are used to obtain information on the geometry of an object in form of point clouds: laser scanners, digital cameras or more recently RGB-D cameras. Among them, the recent Kinect v2 sensor looks promising and therefore its use has been studied in this paper. The aim of this paper is to compare two methodologies for 3D models acquisition: photogrammetry-based models and models obtained using a RGB-D camera. Since the quality of the meshed models is obviously correlated to the quality of the point cloud, the result will be more or less faithful to reality. To quantify this reliability, several comparisons to a reference model have been carried out. Regarding the results of the comparisons, we will be able to conclude about the strengths and weaknesses of photogrammetry and RGB-D cameras for 3D modeling of complex objects.
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