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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Computational flattening algorithms have been successfully applied to X-ray microtomography scans of damaged historical documents, but have so far been limited to scrolls, books, and documents with one or two folds.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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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