Beyond self-similarity for landscape modeling
We present a model that generalizes fractional Brownian motion for the purpose or rendering realistic appearing landscapes. To describe the new model, we extend the concept of stochastic self-similarity. The advantage of the new model is that an artist can choose to alter the roughness of the landscape at different scales. We demonstrate the features of the new model through numerous examples.<<ETX>>