Issue No. 01 - January/February (2012 vol. 32)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2011.34
Enhua Wu , State Key Lab. of Comput. Sci., Inst. of Software, Beijing, China
Pheng-Ann Heng , Dept. of Comput. Sci., Chinese Univ. of Hong Kong's, Hong Kong, China
Wen Wu , Dept. of Comput. & Inf. Sci., Univ. of Macau, Macao, China
Time-varying texels (TVTs) simulate the withering dynamics of grassland. TVTs employ a hybrid texel-and-points scheme, allowing the volume models to handle time-varying simulations. The modeling of grass carries out physically based calculations on the point-based structure. These calculations express the geometric deformation of each grass blade while providing a basis for further transformation of the desired texel array. The material-synthesis phase generates a complete color withering space from only sparse image samples. In addition, an interleaving algorithm achieves the best performance for TVT construction by clustering the precomputed simple TVT samples at a lower density to compose comprehensive models. Experimental results show that this approach effectively simulates withering. This video shows a simulation that efficiently and realistically renders the detailed dynamics of withering grass.
rendering (computer graphics), pattern clustering, withering grass rendering, time-varying texel, withering grassland simulation, texel-and-points scheme, point-based structure, geometric deformation, texel array, material-synthesis phase, color withering space, interleaving algorithm, TVT clustering, Rendering (computer graphics), Biological system modeling, Computational modeling, Heuristic algorithms, Terrain mapping, Solid modeling, Time varying systems, graphics and multimedia, time-varying texels, withering simulation, point-based structure, time-space partitioning tree, computer graphics
Enhua Wu, Pheng-Ann Heng, Wen Wu and shaohui Jiao, "Using Time-Varying Texels to Simulate Withering Grassland," in IEEE Computer Graphics and Applications, vol. 32, no. , pp. 78-86, 2012.