<div class="csl-bib-body">
<div class="csl-entry">Haidacher, M., Bruckner, S., & Gröller, E. (2011). Volume Analysis Using Multimodal Surface Similarity. <i>IEEE Transactions on Visualization and Computer Graphics</i>, <i>17</i>(12), 1969–1978. https://doi.org/10.1109/tvcg.2011.258</div>
</div>
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dc.identifier.issn
1077-2626
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/164784
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dc.description.abstract
The combination of volume data acquired by multiple modalities has been recognized as an important but challenging task. Modalities often differ in the structures they can delineate and their joint information can be used to extend the classification space. However, they frequently exhibit differing types of artifacts which makes the process of exploiting the additional information non-trivial. In this paper, we present a framework based on an information-theoretic measure of isosurface similarity between different modalities to overcome these problems. The resulting similarity space provides a concise overview of the differences between the two modalities, and also serves as the basis for an improved selection of features. Multimodal classification is expressed in terms of similarities and dissimilarities between the isosurfaces of individual modalities, instead of data value combinations. We demonstrate that our approach can be used to robustly extract features in applications such as dual energy computed tomography of parts in industrial manufacturing.
en
dc.language.iso
en
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dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
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dc.relation.ispartof
IEEE Transactions on Visualization and Computer Graphics
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dc.subject
Software
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dc.subject
Computer Graphics and Computer-Aided Design
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dc.subject
Computer Vision and Pattern Recognition
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dc.subject
Signal Processing
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dc.title
Volume Analysis Using Multimodal Surface Similarity
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
1969
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dc.description.endpage
1978
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dc.type.category
Original Research Article
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tuw.container.volume
17
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tuw.container.issue
12
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
-
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
IEEE Transactions on Visualization and Computer Graphics
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.1109/tvcg.2011.258
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dc.identifier.eissn
1941-0506
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dc.description.numberOfPages
10
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tuw.author.orcid
0000-0002-8569-4149
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wb.sci
true
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wb.sciencebranch
Mathematik, Informatik
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wb.sciencebranch.oefos
11
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wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
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item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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item.languageiso639-1
en
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item.grantfulltext
restricted
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairetype
Artikel
-
item.openairetype
Article
-
crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.orcid
0000-0002-8569-4149
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology