Block assembly for global registration of building scans

Handle URI:
http://hdl.handle.net/10754/622523
Title:
Block assembly for global registration of building scans
Authors:
Yan, Feilong; Nan, Liangliang ( 0000-0002-5629-9975 ) ; Wonka, Peter ( 0000-0003-0627-9746 )
Abstract:
We propose a framework for global registration of building scans. The first contribution of our work is to detect and use portals (e.g., doors and windows) to improve the local registration between two scans. Our second contribution is an optimization based on a linear integer programming formulation. We abstract each scan as a block and model the blocks registration as an optimization problem that aims at maximizing the overall matching score of the entire scene. We propose an efficient solution to this optimization problem by iteratively detecting and adding local constraints. We demonstrate the effectiveness of the proposed method on buildings of various styles and that our approach is superior to the current state of the art.
KAUST Department:
King Abdullah University of Science and Technology, KSA
Citation:
Yan F, Nan L, Wonka P (2016) Block assembly for global registration of building scans. ACM Transactions on Graphics 35: 1–11. Available: http://dx.doi.org/10.1145/2980179.2980241.
Publisher:
Association for Computing Machinery (ACM)
Journal:
ACM Transactions on Graphics
Conference/Event name:
ACM SIGGRAPH Asia Conference
Issue Date:
11-Nov-2016
DOI:
10.1145/2980179.2980241
Type:
Article
ISSN:
0730-0301
Sponsors:
We thank the reviewers for their valuable comments, Virginia Unkefer for proofreading, and FalconViz for lending us the Leica ScanStation C10 laser scanner. We also thank NVIDIA Corporation for the donation of the Quadro K5200 GPU used for rendering the point clouds. This work was supported by the Office of Sponsored Research (OSR) under Award No. OCRF-2014-CGR3-62140401 and the Visual Computing Center at KAUST.
Additional Links:
http://dl.acm.org/citation.cfm?doid=2980179.2980241
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorYan, Feilongen
dc.contributor.authorNan, Liangliangen
dc.contributor.authorWonka, Peteren
dc.date.accessioned2017-01-02T09:55:28Z-
dc.date.available2017-01-02T09:55:28Z-
dc.date.issued2016-11-11en
dc.identifier.citationYan F, Nan L, Wonka P (2016) Block assembly for global registration of building scans. ACM Transactions on Graphics 35: 1–11. Available: http://dx.doi.org/10.1145/2980179.2980241.en
dc.identifier.issn0730-0301en
dc.identifier.doi10.1145/2980179.2980241en
dc.identifier.urihttp://hdl.handle.net/10754/622523-
dc.description.abstractWe propose a framework for global registration of building scans. The first contribution of our work is to detect and use portals (e.g., doors and windows) to improve the local registration between two scans. Our second contribution is an optimization based on a linear integer programming formulation. We abstract each scan as a block and model the blocks registration as an optimization problem that aims at maximizing the overall matching score of the entire scene. We propose an efficient solution to this optimization problem by iteratively detecting and adding local constraints. We demonstrate the effectiveness of the proposed method on buildings of various styles and that our approach is superior to the current state of the art.en
dc.description.sponsorshipWe thank the reviewers for their valuable comments, Virginia Unkefer for proofreading, and FalconViz for lending us the Leica ScanStation C10 laser scanner. We also thank NVIDIA Corporation for the donation of the Quadro K5200 GPU used for rendering the point clouds. This work was supported by the Office of Sponsored Research (OSR) under Award No. OCRF-2014-CGR3-62140401 and the Visual Computing Center at KAUST.en
dc.publisherAssociation for Computing Machinery (ACM)en
dc.relation.urlhttp://dl.acm.org/citation.cfm?doid=2980179.2980241en
dc.subjectregistrationen
dc.subjectreconstructionen
dc.subjectassemblyen
dc.subjectbuildingen
dc.subjectindooren
dc.subjectlaser scanningen
dc.subjectpoint clouden
dc.titleBlock assembly for global registration of building scansen
dc.typeArticleen
dc.contributor.departmentKing Abdullah University of Science and Technology, KSAen
dc.identifier.journalACM Transactions on Graphicsen
dc.conference.date2016en
dc.conference.nameACM SIGGRAPH Asia Conferenceen
dc.conference.locationMacao, PEOPLES R CHINAen
kaust.authorYan, Feilongen
kaust.authorNan, Liangliangen
kaust.authorWonka, Peteren
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