Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
| Autor: | Dambrogio, Jana, Amanda, Ghassaei, Smith, Daniel Starza, Jackson, Holly, Demaine, Martin L., Graham, Davis, Mills, David, Ahrendt, Rebekah, Akkerman, N.N.W., Van der Linden, David, Demaine, Eric D., LS Muziek en media, ICON - Musicology |
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| Přispěvatelé: | LS Muziek en media, ICON - Musicology, Afd Arts, Media & Performance |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Undelivered
Signed Sealed Undelivered computational tools Chemistry(all) Computer science Mathematics and computing media_common.quotation_subject Science General Physics and Astronomy Imaging techniques Physics and Astronomy(all) Communications security Biochemistry General Biochemistry Genetics and Molecular Biology Flattening Article Chart Computer graphics (images) Reading (process) early modern history Brienne media_common Multidisciplinary algorithm Biochemistry Genetics and Molecular Biology(all) The Renaissance General Chemistry Folding (DSP implementation) Applied physics Sealed Signed Fully automatic correspondences digital humanities Genetics and Molecular Biology(all) |
| Zdroj: | Nature Communications Nature Communications, 12, 1184 Nature Communications, 12(1). Nature Publishing Group Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021) |
| ISSN: | 2041-1723 |
| Popis: | Computational flattening algorithms have been successfully applied to X-ray microtomography scans of damaged historical documents, but have so far been limited to scrolls, books, and documents with one or two folds. The challenge tackled here is to reconstruct the intricate folds, tucks, and slits of unopened letters secured shut with “letterlocking,” a practice—systematized in this paper—which underpinned global communications security for centuries before modern envelopes. We present a fully automatic computational approach for reconstructing and virtually unfolding volumetric scans of a locked letter with complex internal folding, producing legible images of the letter’s contents and crease pattern while preserving letterlocking evidence. We demonstrate our method on four letterpackets from Renaissance Europe, reading the contents of one unopened letter for the first time. Using the results of virtual unfolding, we situate our findings within a novel letterlocking categorization chart based on our study of 250,000 historical letters. 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. |
| Databáze: | OpenAIRE |
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