Polygon nesting and robustness
Information Processing Letters
Constructive non-regularized geometry
Computer-Aided Design - Beyond solid modelling
Automatic unstructured grid generators
Finite Elements in Analysis and Design
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Robust repair of polygonal models
ACM SIGGRAPH 2004 Papers
Automatic restoration of polygon models
ACM Transactions on Graphics (TOG)
Procedural modeling of buildings
ACM SIGGRAPH 2006 Papers
MPFR: A multiple-precision binary floating-point library with correct rounding
ACM Transactions on Mathematical Software (TOMS)
Exact and efficient construction of planar Minkowski sums using the convolution method
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Legible Simplification of Textured Urban Models
IEEE Computer Graphics and Applications
ACM SIGGRAPH Asia 2008 papers
Covering Minkowski sum boundary using points with applications
Computer Aided Geometric Design
Photorealistic Large-Scale Urban City Model Reconstruction
IEEE Transactions on Visualization and Computer Graphics
Fixing geometric errors on polygonal models: a survey
Journal of Computer Science and Technology
2.5D building modeling with topology control
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
The Visual Computer: International Journal of Computer Graphics
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A large volume of urban models describing urban objects in major international cities has been re-constructed and become freely and publicly available via software like Arc-Globe and Google Earth. However, these models are mostly created for visualization and are loosely structured. For example, current GIS software such as ESRI ArcGIS and urban model synthesis methods typically use overlapping 2D footprints with elevation and height information to depict various components of buildings. In this paper, we present a robust and efficient framework that generates seamless 3D architectural models from these footprints that usually contain small, sharp, and various (nearly) degenerate artifacts due to machine and human errors. We demonstrate the benefits of the proposed method by showcase an atmospheric dispersion simulation in a New York City (NYC) dataset. Finally, we discuss several examples of visualizing and analyzing the simulated Computational Fluid Dynamics (CFD) data into the GIS for further geospatial analysis.