Genetic selection of parametric scenes

Abstract

Using a modelling package such as Alias Maya or SoftImage XSi to create a natural scene is too tedious to be practical. Procedural generation techniques reduce the amount of work involved, but there may still be too many parameters to be selected manually. We propose a new method of generating natural scenes, using a genetic algorithm (GA) to infer the user’s preferences from user feedback. In order to allow the goal to be reached in a reasonable time, the GA must converge quickly. The scene generation and display preprocessing must also be efficient. We present techniques that attain these goals while still producing reasonable quality output and interactive frame-rates. We also compare this approach to having a user manually select parameters

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