Nature Communications (Mar 2021)

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

DOI
https://doi.org/10.1038/s41467-021-21326-w
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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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.