Generating and exploring good building layouts

Handle URI:
http://hdl.handle.net/10754/575576
Title:
Generating and exploring good building layouts
Authors:
Bao, Fan; Yan, Dongming ( 0000-0003-2209-2404 ) ; Mitra, Niloy J. ( 0000-0002-2597-0914 ) ; Wonka, Peter ( 0000-0003-0627-9746 )
Abstract:
Good building layouts are required to conform to regulatory guidelines, while meeting certain quality measures. While different methods can sample the space of such good layouts, there exists little support for a user to understand and systematically explore the samples. Starting from a discrete set of good layouts, we analytically characterize the local shape space of good layouts around each initial layout, compactly encode these spaces, and link them to support transitions across the different local spaces. We represent such transitions in the form of a portal graph. The user can then use the portal graph, along with the family of local shape spaces, to globally and locally explore the space of good building layouts. We use our framework on a variety of different test scenarios to showcase an intuitive design, navigation, and exploration interface. Copyright © ACM. Copyright © ACM 2013.
KAUST Department:
Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program
Publisher:
Association for Computing Machinery (ACM)
Journal:
ACM Transactions on Graphics
Issue Date:
1-Jul-2013
DOI:
10.1145/2461912.2461977
Type:
Article
ISSN:
07300301
Appears in Collections:
Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorBao, Fanen
dc.contributor.authorYan, Dongmingen
dc.contributor.authorMitra, Niloy J.en
dc.contributor.authorWonka, Peteren
dc.date.accessioned2015-08-24T08:33:18Zen
dc.date.available2015-08-24T08:33:18Zen
dc.date.issued2013-07-01en
dc.identifier.issn07300301en
dc.identifier.doi10.1145/2461912.2461977en
dc.identifier.urihttp://hdl.handle.net/10754/575576en
dc.description.abstractGood building layouts are required to conform to regulatory guidelines, while meeting certain quality measures. While different methods can sample the space of such good layouts, there exists little support for a user to understand and systematically explore the samples. Starting from a discrete set of good layouts, we analytically characterize the local shape space of good layouts around each initial layout, compactly encode these spaces, and link them to support transitions across the different local spaces. We represent such transitions in the form of a portal graph. The user can then use the portal graph, along with the family of local shape spaces, to globally and locally explore the space of good building layouts. We use our framework on a variety of different test scenarios to showcase an intuitive design, navigation, and exploration interface. Copyright © ACM. Copyright © ACM 2013.en
dc.publisherAssociation for Computing Machinery (ACM)en
dc.subjectComputational designen
dc.subjectConstrained optimizationen
dc.subjectLayout explorationen
dc.subjectLocal variationsen
dc.subjectShape spaceen
dc.titleGenerating and exploring good building layoutsen
dc.typeArticleen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.identifier.journalACM Transactions on Graphicsen
dc.contributor.institutionArizona State University, United Statesen
dc.contributor.institutionUniversity College London, United Kingdomen
kaust.authorYan, Dongmingen
kaust.authorWonka, Peteren
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