DocumentCode :
411281
Title :
Semi-automatic generation of 3-D building model by the integration of CG and GIS
Author :
Sugihara, Kenichi ; Hayashi, Yoshitugu
Author_Institution :
Fac. of Bus. Adm., Gifu Keizai Univ., Ogaki, Japan
Volume :
6
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
3919
Abstract :
When a real urban world is projected into 3-D virtual space, buildings are major objects in this space. To realize the 3-D urban model by computer graphics (CG), it is important to generate building models efficiently. 3-D urban models are the important information infrastructures that can be utilized in several fields, such as landscape evaluation, city planning, civil engineering, architecture, disaster prevention simulation, etc. In this paper, we propose a system to generate 3-D building models semi-automatically by the integration of CG and GIS. Usually, urban planners design the future layout of a town by drawing a map. So, it is convenient for the urban planner who draws the future map to realize an alternative plan if the map can immediately be converted into a 3-D urban model. The system automatically generates a 3-D urban model so quickly that the system meets the urgent demand to realize another alternative plan.
Keywords :
computer graphics; geographic information systems; terrain mapping; town and country planning; 3D urban model; 3D virtual space; CG; GIS; architecture; buildings; city planning; civil engineering; computer graphics; disaster prevention simulation; geographic information system; landscape evaluation; semiautomatic generation; town layout; Buildings; Character generation; Cities and towns; Civil engineering; Computational modeling; Computer architecture; Computer graphics; Computer simulation; Geographic Information Systems; Urban planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1295314
Filename :
1295314
Link To Document :
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