1. Introduction Creating a natural‐looking plant model is not a simple task; creating hundreds of plants for a scene is even more difficult. In the quest to attain realism, individual plant models have become increasingly complex through the addition of detail. Thus, manually modelling each individual plant in a scene is not acceptable. Our objective is to design an automatic, controllable approach for generating many naturally varied models from a single given model with little effort. This is achieved by subtly altering the overall shape of stems, branches and leaves requiring local natural variation to be correlated over the entire lengths of these elements. Previous techniques to automatically generate collections of similar models include instancing [DHL*98] , interpolation and stochastic modelling [FF80] . While these techniques are sometimes useful there are weaknesses. With instancing the exact repetition of a small set of models may be immediately recognized. Interpolation between a small set to create intermediate models is dependent on both the interpolating function and the interpolated parameters. Often the results look too mechanical due to exact smooth interpolation. Stochastic modelling adds randomness to the model's description and can be combined with instancing and interpolation. However, variation is limited
Computer Graphics Forum – Wiley
Published: Sep 1, 2005
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