Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionComputer Science Program
Visual Computing Center (VCC)
KAUST Grant Number
OSR-2015-CCF-2533OCRF-2014-CGR3-62140401
Date
2017-11-22Online Publication Date
2017-11-22Print Publication Date
2017-11-20Permanent link to this record
http://hdl.handle.net/10754/626748
Metadata
Show full item recordAbstract
The creation of high-quality semantically parsed 3D models for dense metropolitan areas is a fundamental urban modeling problem. Although recent advances in acquisition techniques and processing algorithms have resulted in large-scale imagery or 3D polygonal reconstructions, such data-sources are typically noisy, and incomplete, with no semantic structure. In this paper, we present an automatic data fusion technique that produces high-quality structured models of city blocks. From coarse polygonal meshes, street-level imagery, and GIS footprints, we formulate a binary integer program that globally balances sources of error to produce semantically parsed mass models with associated facade elements. We demonstrate our system on four city regions of varying complexity; our examples typically contain densely built urban blocks spanning hundreds of buildings. In our largest example, we produce a structured model of 37 city blocks spanning a total of 1,011 buildings at a scale and quality previously impossible to achieve automatically.Citation
Kelly T, Femiani J, Wonka P, Mitra NJ (2017) BigSUR. ACM Transactions on Graphics 36: 1–16. Available: http://dx.doi.org/10.1145/3130800.3130823.Sponsors
We would like to thank the many people who contributed to this paper; the reviewers, image labellers, and others who read manuscripts, each made valuable contributions. In particular, we thank Florent Lafarge, Pierre Alliez, Pascal Muller, and Lama Affara for providing us with comparisons, software, and sourcecode, as well as Virginia Unkefer, Robin Roussel, Carlo Innamorati, and Aron Monszpart for their feedback. This work was supported by the ERC Starting Grant (SmartGeometry StG-2013-335373), KAUST-UCL grant (OSR-2015-CCF-2533), the KAUST Office of Sponsored Research (award No. OCRF-2014-CGR3-62140401), the Salt River Project Agricultural Improvement and Power District Cooperative Agreement No. 12061288, and the Visual Computing Center (VCC) at KAUST.Journal
ACM Transactions on GraphicsConference/Event name
ACM SIGGRAPH Asia Conference, SA 2017Embedded External Content
ae974a485f413a2113503eed53cd6c53
10.1145/3130800.3130823