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.

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0ce33d5eba684710baf3433246744129
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spelling	oai:doaj.org-article:0ce33d5eba684710baf34332467441292021-12-02T13:33:04ZUnlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography10.1038/s41467-021-21326-w2041-1723https://doaj.org/article/0ce33d5eba684710baf34332467441292021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21326-whttps://doaj.org/toc/2041-1723Here, 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.Jana DambrogioAmanda GhassaeiDaniel Starza SmithHolly JacksonMartin L. DemaineGraham DavisDavid MillsRebekah AhrendtNadine AkkermanDavid van der LindenErik D. DemaineNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
description	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.
format	article
author	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
author_facet	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
author_sort	Jana Dambrogio
title	Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
title_short	Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
title_full	Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
title_fullStr	Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
title_full_unstemmed	Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
title_sort	unlocking history through automated virtual unfolding of sealed documents imaged by x-ray microtomography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0ce33d5eba684710baf3433246744129
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Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography

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