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dc.contributor.authorLi, Minglei
dc.contributor.authorNan, Liangliang
dc.contributor.authorSmith, Neil
dc.contributor.authorWonka, Peter
dc.date.accessioned2015-08-17T07:38:03Z
dc.date.available2015-08-17T07:38:03Z
dc.date.issued2015-07-26
dc.identifier.citationReconstructing building mass models from UAV images 2016, 54:84 Computers & Graphics
dc.identifier.issn00978493
dc.identifier.doi10.1016/j.cag.2015.07.004
dc.identifier.urihttp://hdl.handle.net/10754/567059
dc.description.abstractWe present an automatic reconstruction pipeline for large scale urban scenes from aerial images captured by a camera mounted on an unmanned aerial vehicle. Using state-of-the-art Structure from Motion and Multi-View Stereo algorithms, we first generate a dense point cloud from the aerial images. Based on the statistical analysis of the footprint grid of the buildings, the point cloud is classified into different categories (i.e., buildings, ground, trees, and others). Roof structures are extracted for each individual building using Markov random field optimization. Then, a contour refinement algorithm based on pivot point detection is utilized to refine the contour of patches. Finally, polygonal mesh models are extracted from the refined contours. Experiments on various scenes as well as comparisons with state-of-the-art reconstruction methods demonstrate the effectiveness and robustness of the proposed method.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0097849315001077
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Computers & Graphics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Graphics, 26 July 2015. DOI: 10.1016/j.cag.2015.07.004
dc.subjectUrban reconstruction
dc.subjectAerial images
dc.subjectPoint cloud
dc.subjectMarkov random field
dc.subjectGraph cut
dc.titleReconstructing building mass models from UAV images
dc.typeArticle
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalComputers & Graphics
dc.eprint.versionPost-print
dc.contributor.institutionInstitute of Remote Sensing and Digital Earth, CAS, Datun Road No. 20, Chaoyang District, Beijing 100101, P.R. China
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personSmith, Neil
kaust.personWonka, Peter
kaust.personLi, Minglei
kaust.personNan, Liangliang
refterms.dateFOA2017-07-26T00:00:00Z
dc.date.published-online2015-07-26
dc.date.published-print2016-02


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