Approach of Geometric Texture Mapping Based on Discrete Gradient Searching

  • Authors:
  • Ruilin Zhang;Weijie Guo;Xianghui Zeng

  • Affiliations:
  • -;-;-

  • Venue:
  • AICI '10 Proceedings of the 2010 International Conference on Artificial Intelligence and Computational Intelligence - Volume 03
  • Year:
  • 2010

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Abstract

Texture mapping has two categories: color texture mapping and geometric texture mapping. This paper mainly studies geometric texture mapping for random fractal surface. Height map of random fractal surface is generated by RMD algorithm. Gradient of each point on height map is calculated by discrete central difference algorithm. So, gray map of fractal surface is obtained by reflection map equation with gradient map. Then, for establishing the relationship between original image and height map of fractal surface, the algorithm named “discrete gradient searching” is proposed in this paper. And texture mapping on hemisphere by formula and discrete gradient searching are taken separately to prove it available. Finally, it is used on mapping of fractal surface. The experimental results show that the proposed algorithm to generate random rough texture surface can get more satisfactory and perfect results.