Title :
Automating the construction of large-scale virtual worlds
Author :
Polis, Michael F. ; Gifford, Stephen J. ; Mckeown, David M., Jr.
Author_Institution :
Digital Mapping Lab., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
7/1/1995 12:00:00 AM
Abstract :
Databases for large-scale virtual worlds have several critical applications. Automating their construction can improve fidelity and save considerable time. In this article, we focus on: (1) automated cartographic feature extraction (derivation of man-made objects from aerial imagery); (2) triangulated irregular network (TIN) generation (automated techniques for terrain skin generation); and (3) road correction (automated integration of complex transportation networks). The product of these components forms a major part of the input to the final database compilation via computer image generator-specific tools such as the S1000 or the Close Combat Tactical Trainer (CCTT) database formatter
Keywords :
application generators; automatic programming; cartography; feature extraction; large-scale systems; military computing; virtual reality; visual databases; CIG-specific tools; Close Combat Tactical Trainer; S1000; aerial imagery; automated cartographic feature extraction; complex transportation networks; computer image generator; database formatter; large-scale virtual world construction; man-made objects derivation; road correction; terrain skin generation; triangulated irregular network generation; Computational modeling; Computer networks; Computer simulation; Distributed computing; Humans; Image databases; Image generation; Image resolution; Large-scale systems; Spatial databases;
