DocumentCode :
2373400
Title :
Geometry and Texture Coupled Generalization of Urban Buildings
Author :
Zhang, Man ; Zhang, Liqiang ; Wang, Hao ; Xie, Wenqing
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2011
fDate :
15-16 May 2011
Firstpage :
26
Lastpage :
29
Abstract :
A novel element FEdge, containing geometric and textured information, is proposed for geometry and texture coupled generalization of urban buildings, in relation to urban legibility of roads, districts, and landmarks. In order to take into account geometric characteristics of different footprints better, we cluster building footprints by creating their positive buffers to preserve roads at desired levels of detail. For each cluster, due to similarity with district, the regular shaped buffer polygon is used to aid extracting the generalized footprint. To enhance the authenticity of the generalized texture, a factor of texture importance is set to each vertex before the combination. By applying a Buffer-Tree to store the generated multi-resolution urban building models, an error controlled real-time visualization of large urban scene is implemented.
Keywords :
cartography; computational geometry; data visualisation; generalisation (artificial intelligence); image texture; FEdge; authenticity; buffer-tree; building footprints; geometric information; geometry-texture coupled generalization; multiresolution urban building models; positive buffers; real-time visualization; regular shaped buffer polygon; textured information; urban legibility; Buildings; Geometry; Rendering (computer graphics); Roads; Shape; Three dimensional displays; Visualization; generalization; levels-of-detail; urban building; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-0271-6
Electronic_ISBN :
978-0-7695-4413-7
Type :
conf
DOI :
10.1109/DMDCM.2011.69
Filename :
5959670
Link To Document :
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