Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography

Jana Dambrogio*, Amanda Ghassaei*, Daniel Starza Smith, Holly Jackson, Martin L. Demaine, Graham Davis*, David Mills, Rebekah Ahrendt, Nadine Akkerman, David van der Linden, Erik D. Demaine

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

18 Citaten (Scopus)
41 Downloads (Pure)

Samenvatting

Computational flattening algorithms have been successfully applied to X-ray microtomography scans of damaged historical documents, but have so far been limited to scrolls, books, and documents with one or two folds.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.
Originele taal-2English
Artikelnummer1184
Aantal pagina's10
TijdschriftNature Communications
Volume12
DOI's
StatusPublished - mrt.-2021
Extern gepubliceerdJa

Vingerafdruk

Duik in de onderzoeksthema's van 'Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography'. Samen vormen ze een unieke vingerafdruk.

Citeer dit