A new approach to create textured urban models through genetic algorithms
The automatic process for texturing 3D urban environments realistically is a challenging topic in Computer Graphics, especially when the model is generated from 2D GIS data from real sites. In order to achieve realistic scenes, buildings, urban furniture and street roadways should be modeled automatically also considering the slope of steep streets. A texturing process by hand which takes into account all the urban elements of a city is an impracticable task, especially if quality results are required. In this paper we propose an automatic method for building texturization in entire urban models using a small set of images. The different features of lower and upper parts of buildings are considered by implementing two different genetic algorithms. Our method can be used in cities with both horizontal and steep streets because the street slope is processed by the algorithm.
genetic algorithm 2d gis texture mapping 3d city modeling georeferenced database clientserver architecture