<div class="csl-bib-body">
<div class="csl-entry">Brenner, S., Frühwirth, T., & Mayer, S. (2023). Revealing ‘invisible’ poetry by W. H. Auden through computer vision: Using photometric stereo to visualize indented impressions. <i>Digital Scholarship in the Humanities</i>, <i>38</i>(4), 1404–1417. https://doi.org/10.1093/llc/fqad037</div>
</div>
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dc.identifier.issn
2055-7671
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191508
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dc.description.abstract
This article explores the use of computer-vision technologies in the context of digitally editing and researching letters and literary papers by the British-American poet W. H. Auden. Two documents in the previously inaccessible ‘Auden Musulin Papers’ contain colourless indented typewriter impressions of poetry. These impressions result from the papers’ original use as ‘backing sheets’, inserted into a typewriter below those sheets of paper on which Auden typed his poetry. Subsequently, these backing sheets were reused in the poet’s ‘working correspondence’ to Welsh-Austrian writer Stella Musulin. While standard image-digitization technologies fail to capture these 3D indented impressions, they can successfully be represented by means of Photometric Stereo, which has been fruitfully employed in the research of 3D cultural-heritage objects. Following a detailed outline of this method, this article demonstrates how Photometric Stereo can help to reconstruct poetry that has survived only in the form of indented impressions. Thus, the case study illustrates how computer vision can contribute to our understanding both of ‘poetic’ practices of composition and revision as well as of ‘material’ writing practices. It also has wide-ranging implications for re-conceptualizing sheets of paper as 3D objects in the research of literary documents from the twentieth century.
en
dc.language.iso
en
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dc.publisher
Oxford University Press
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dc.relation.ispartof
Digital Scholarship in the Humanities
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
W.H. Auden
en
dc.subject
Photometric Stereo
en
dc.subject
Photometric Reconstruction
en
dc.title
Revealing ‘invisible’ poetry by W. H. Auden through computer vision: Using photometric stereo to visualize indented impressions
en
dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.contributor.affiliation
Austrian Academy of Sciences, Austria
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dc.contributor.affiliation
Austrian Academy of Sciences, Austria
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dc.description.startpage
1404
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dc.description.endpage
1417
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dc.rights.holder
The Author(s) 2023
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dc.type.category
Original Research Article
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tuw.container.volume
38
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tuw.container.issue
4
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
Digital Scholarship in the Humanities
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tuw.publication.orgunit
E193-01 - Forschungsbereich Computer Vision
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tuw.publisher.doi
10.1093/llc/fqad037
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dc.date.onlinefirst
2023-06-24
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dc.identifier.eissn
2055-768X
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dc.identifier.libraryid
AC17204891
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dc.description.numberOfPages
14
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tuw.author.orcid
0000-0001-6909-7099
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tuw.author.orcid
0000-0002-3997-5193
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tuw.author.orcid
0000-0002-2915-5888
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
dc.description.sponsorshipexternal
Austrian Science Fund (FWF)
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dc.relation.grantnoexternal
P33754
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wb.sci
true
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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1010
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wb.sciencebranch.value
90
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10
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http://purl.org/coar/resource_type/c_2df8fbb1
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research article
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Publications
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with Fulltext
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Open Access
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item.languageiso639-1
en
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application/pdf
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open
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
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crisitem.author.dept
Austrian Academy of Sciences
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crisitem.author.dept
Austrian Academy of Sciences
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crisitem.author.orcid
0000-0001-6909-7099
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crisitem.author.orcid
0000-0002-3997-5193
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crisitem.author.orcid
0000-0002-2915-5888
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology