Abstract
The neighbourhood aspect of city models is often overlooked in methods of generating detailed city models. This paper identifies two distinct styles of virtual city generation and highlights the weaknesses and strengths of both, before proposing a geo-demographically based solution to automatically generate 3D residential neighbourhood models suitable for use within simulative training. The algorithms main body of work focuses on a classification based system which applies a texture library of captured building instances to extruded and optimised virtual buildings created from 2D GIS data.
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Richmond, P., Romano, D. (2008). Automatic Generation of Residential Areas using Geo-Demographics. In: van Oosterom, P., Zlatanova, S., Penninga, F., Fendel, E.M. (eds) Advances in 3D Geoinformation Systems. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72135-2_22
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DOI: https://doi.org/10.1007/978-3-540-72135-2_22
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