Meet CHAPI (Cultural Heritage Automated Photogrammetric Imager), a low cost solution which provides a method for capturing large ceiling paintings in high detail, with a consistent photogrammetric network in limited time.



Goals




a stable, mobile platform on which a camera could be mounted in multiple orientations

a method of automatically measuring distance with a resolution sufficient for a dense photogrammetric network

a method of automatically triggering a camera tethered to a laptop

a low-cost solution that was also easy to assemble/disassemble for transport.




License
The project is licensed under MIT License to encourage the community to improve and adapt to their own needs and use cases. We hope that modifications and improvements will be made available under the same terms.



Acknowledgements
CHAPI was created by Michael Groh for the Department of Digital Technologies in Heritage Conservation, part of the Centre for Heritage Conservation Studies and Technologies (KDWT) at University of Bamberg. Special thanks to John Hindmarch for his expertise, valuable insights, and testing.



Publication
Hindmarch, J., Hess, M., Groh, M., & Burioni, M. (2023). A SEMI-AUTOMATED METHODOLOGY FOR 3D IMAGING OF LARGE VAULTED CEILING PAINTINGS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-2–2023, 721–727. https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-721-2023



Zenodo Content
What you see here is a condensed version, showcasing the final components used at the time of publication. For more comprehensive details, including information about history, construction and experimental parts, please refer to the our complete set of data available on University of Bamberg Gitlab or Github.