<div class="csl-bib-body">
<div class="csl-entry">Walch, A., Schwärzler, M., Luksch, C., Eisemann, E., & Gschwandtner, T. (2020). LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization. <i>IEEE Transactions on Visualization and Computer Graphics</i>, 569–578. https://doi.org/10.1109/tvcg.2019.2934658</div>
</div>
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dc.identifier.issn
1077-2626
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/140003
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dc.description.abstract
LightGuider is a novel guidance-based approach to interactive lighting design, which typically consists of interleaved 3D modeling operations and light transport simulations. Rather than having designers use a trial-and-error approach to match their illumination constraints and aesthetic goals, LightGuider supports the process by simulating potential next modeling steps that can deliver the most significant improvements. LightGuider takes predefined quality criteria and the current focus of the designer into account to visualize suggestions for lighting-design improvements via a specialized provenance tree. This provenance tree integrates snapshot visualizations of how well a design meets the given quality criteria weighted by the designer's preferences. This integration facilitates the analysis of quality improvements over the course of a modeling workflow as well as the comparison of alternative design solutions. We evaluate our approach with three lighting designers to illustrate its usefulness.
en
dc.language.iso
en
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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
Visual Analytics
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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.subject
guidance
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dc.subject
lighting design
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dc.title
LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
569
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dc.description.endpage
578
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dc.type.category
Original Research Article
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
-
tuw.researchTopic.value
100
-
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.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.publisher.doi
10.1109/tvcg.2019.2934658
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dc.identifier.eissn
1941-0506
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dc.description.numberOfPages
10
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wb.sci
true
-
wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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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
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.languageiso639-1
en
-
item.openairetype
research article
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crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
-
crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
-
crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology