Köhler, JohannesNöll, TobiasStricker, DidierReinhard Klein and Pedro Santos2014-12-162014-12-162014978-3-905674-75-0https://doi.org/10.2312/gch.20141323Documentation and presentation of cultural heritage can greatly benefit from photorealistic digitization. This field, however, is subject to ongoing research and very hard to enter for new researchers. This is mostly because a respective processing pipeline requires many steps that strongly depend on each other and thus must be fully implemented. Moreover, sophisticated acquisition hardware is expensive and usually difficult to construct due to its complexity. In this paper, we briefly summarize our ongoing work in this field. Our main contribution is a collection of datasets acquired with a state-of-the-art geometry and reflectance acquisition device. The datasets do not only include the raw scanner data, but also results of our individual processing stages. Other researchers can use this data to work on a specific task/stage without having to implement the full pipeline.I.4.1 [Image Processing and Computer Vision]Digitization and Image CaptureScanningI.4.1 [Image Processing and Computer Vision]Digitization and Image CaptureReflectance