DocumentCode :
681261
Title :
Research of building model reconstruction based on adaptive clustering
Author :
Shasha Xing ; Junli Chen ; Kai Liu ; Haifeng Yu
Author_Institution :
Inst. of Smart City, Univ. of Shanghai, Shanghai, China
fYear :
2013
fDate :
19-20 Aug. 2013
Firstpage :
65
Lastpage :
68
Abstract :
In the city three-dimensional scene visualization engine, it will generate a huge amount of data to cause real-time transmission difficult by using the traditional triangular mesh mode. A simplified method for building models is presented. This method can simplify three-dimensional model by adaptive clustering and can preserve building model contour information well at the same time. The experimental results show it can improve the visual performance of the digital city.
Keywords :
data visualisation; pattern clustering; solid modelling; adaptive clustering; building model contour information; building model reconstruction; city three-dimensional scene visualization engine; digital city; triangular mesh mode; visual performance; Mesh simplification; Model block; Normal vector; Point cloud; Simplification;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on
Conference_Location :
Shanghai
Electronic_ISBN :
978-1-84919-707-6
Type :
conf
DOI :
10.1049/cp.2013.1953
Filename :
6737781
Link To Document :
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