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• W132936031 abstract "In this paper we aim at generalizing, i.e., simplifying, 3D building data automatically employing vector-based morphology and discrete/continuous curvature space. So-called “ scale-space events” , for which the link to the semantics of objects has been shown, play a major role for the simplification. The simplified data can be used to build up a level of detail (LOD) structure making the visualization of large data sets feasible by visualizing objects at a larger distance from the viewer based on a less detailed representation. Another point of view on our approach is that we base model-generalization from cartography which transforms data to the right level of abstraction for a particular analysis task on the formally well-defined theory of scale-spaces. Results for an implementation of the approach based on the computational geometry algorithm library (CGAL) public domain library show the validity of the approach." @default.
• W132936031 created "2016-06-24" @default.
• W132936031 creator A5051753781 @default.
• W132936031 date "2000-01-01" @default.
• W132936031 modified "2023-10-06" @default.
• W132936031 title "SCALE-SPACE EVENTS FOR THE GENERALIZATION OF 3D-BUILDING DATA" @default.
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