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dc.contributor.authorYan, Feilong
dc.contributor.authorNan, Liangliang
dc.contributor.authorWonka, Peter
dc.date.accessioned2017-01-02T09:55:28Z
dc.date.available2017-01-02T09:55:28Z
dc.date.issued2016-11-11
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.
dc.identifier.issn0730-0301
dc.identifier.doi10.1145/2980179.2980241
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.
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.
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttp://dl.acm.org/citation.cfm?doid=2980179.2980241
dc.relation.urlhttps://youtu.be/cV6D7evSFgo
dc.rights© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2016, Volume 35 Issue 6, November 2016. http://doi.acm.org/10.1145/2980179.2980241
dc.subjectregistration
dc.subjectreconstruction
dc.subjectassembly
dc.subjectbuilding
dc.subjectindoor
dc.subjectlaser scanning
dc.subjectpoint cloud
dc.titleBlock assembly for global registration of building scans
dc.typeConference Paper
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journalACM Transactions on Graphics
dc.conference.date2016
dc.conference.nameACM SIGGRAPH Asia Conference
dc.conference.locationMacao, PEOPLES R CHINA
dc.eprint.versionPublisher's Version/PDF
dc.relation.embedded<iframe width="560" height="315" src="https://www.youtube.com/embed/cV6D7evSFgo?rel=0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
kaust.personYan, Feilong
kaust.personNan, Liangliang
kaust.personWonka, Peter
refterms.dateFOA2018-06-13T13:31:27Z


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