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

Computational flattening algorithms have been successfully applied to X-ray microtomography scans of damaged historical documents, but have so far been limited to scrolls, books, and documents with one or two folds.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 o...

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Detalles Bibliográficos
Autores principales: Dambrogio, Jana, Ghassaei, Amanda, Smith, Daniel Starza, Jackson, Holly, Demaine, Martin L., Davis, Graham, Mills, David, Ahrendt, Rebekah, Akkerman, Nadine, van der Linden, David, Demaine, Erik D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925573/
https://www.ncbi.nlm.nih.gov/pubmed/33654094
http://dx.doi.org/10.1038/s41467-021-21326-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925573/
https://www.ncbi.nlm.nih.gov/pubmed/33654094
http://dx.doi.org/10.1038/s41467-021-21326-w

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