Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
Here, the authors present a fully automatic computational approach for reconstructing and virtually unfolding volumetric scans of locked letters with complex internal folding, producing legible images of the letter’s contents and crease pattern while preserving letterlocking evidence.
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-21326-w |