Abstract
The surface of most heritage objects holds important clues about their creation. To answer specific research questions about a 16th-century mural painting located in the Bischofstor of Vienna's St. Stephen's Cathedral, the three-dimensional (3D) geometry of the entire painted surface was digitised in minuscule detail using thousands of overlapping photographs. Although this article provides image acquisition and processing specifics, it aims to assess which image-based modelling workflow can achieve the most detailed, noise-free, two-and-a-half dimensional (2.5D) raster surface of this mural painting. Other than their full 3D counterparts and in contrast to the focus of most academic research, 2.5D raster surfaces are ideally suited for visualising and analysing sizeable, detailed surfaces. They are, therefore, still the preferred surface encoding of many heritage projects that want to leverage digital surface approximations to further heritage insights (and not just use them as mere eyecatchers). In the end, only a combination of different 2.5D rasters was able to accurately represent the variable surface of this mural painting with the right amount of spatial detail.
Original language | English |
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Pages (from-to) | 171-178 |
Number of pages | 8 |
Journal | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Volume | 8 |
Issue number | M-1-2021 |
DOIs | |
Publication status | Published - 10 Sep 2021 |
Event | 28th CIPA Symposium on Great Learning and Digital Emotion, CIPA 2021 - Beijing, China Duration: 28 Aug 2021 → 1 Sep 2021 |
Austrian Fields of Science 2012
- 601026 Virtual archeology
Keywords
- Depth map
- Digital surface model
- Image-based modelling
- Metashape
- Mural painting
- Polymesh
- Rasterisation