Abstract :
This paper introduces a novel surface-modeling method to stochastically distribute features on arbitrary topological surfaces. The generated distribution of features follows the Poisson disk distribution, so we can have a minimum separation guarantee between features and avoid feature overlap. With the proposed method, we not only can interactively adjust and edit features with the help of the proposed Poisson disk map, but can also efficiently re-distribute features on object surfaces. The underlying mechanism is our dual tiling scheme, known as the dual Poisson-disk tiling. First, we compute the dual of a given surface parameterization, and tile the dual surface by our specially-designed dual tiles; during the pre-processing, the Poisson disk distribution has been pre-generated on these tiles. By dual tiling, we can nicely avoid the problem of corner heterogeneity when tiling arbitrary parameterized surfaces, and can also reduce the tile set complexity. Furthermore, the dual tiling scheme is non-periodic, and we can also maintain a manageable tile set. To demonstrate the applicability of this technique, we explore a number of surface-modeling applications: pattern and shape distribution, bump-mapping, illustrative rendering, mold simulation, the modeling of separable features in texture and BTF, and the distribution of geometric textures in shell space.
Keywords :
Poisson distribution; rendering (computer graphics); solid modelling; Poisson disk distribution; Poisson disk map; arbitrary topological surface; bump mapping; dual Poisson-disk tiling; geometric texture; illustrative rendering; mold simulation; object surface; separable features modeling; surface modeling; surface parameterization; Application software; Computational modeling; Distributed computing; Geometry; Rendering (computer graphics); Solid modeling; Surface texture; Topology; Applications; Computational Geometry and Object Modeling; Three-Dimensional Graphics and Realism; Algorithms; Computer Graphics; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Statistical; Poisson Distribution;