Device for Digitizing Materials: Defensive-Publication Embodiments, Version 2026-05-16
This record contains a defensive publication describing material-scanning devices and methods, including photometric stereo, SVBRDF/BRDF capture, polarized reflection and transmission capture, spectral illumination, material-map generation, renderable material output, calibration, machine-learning-assisted reconstruction, quality control, and related embodiments. This version is an expanded defensive-publication version prepared from an initial document first published on 2023-01-02. Earlier signed versions are preserved separately and referenced for provenance. The expanded 2026 version should not be interpreted as having been publicly available before its stated publication date.
Authors
- Niklas Hauber
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-16
- DOI
- https://doi.org/10.5281/zenodo.20229293
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00