• DocumentCode
    3399165
  • Title

    Approach of Geometric Texture Mapping Based on Discrete Gradient Searching

  • Author

    Zhang, Ruilin ; Guo, Weijie ; Zeng, Xianghui

  • Author_Institution
    Dept. of Comput. Applic., Zhejiang Sci-Tech Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    315
  • Lastpage
    318
  • 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.
  • Keywords
    fractals; geometry; gradient methods; image colour analysis; image texture; RMD algorithm; color texture mapping; discrete central difference algorithm; discrete gradient searching; geometric texture mapping; gradient map; random fractal surface; random rough texture surface; reflection map equation; Fractals; Land surface; Mathematical model; Reflection; Rough surfaces; Surface roughness; Surface texture; discrete; geometric texture; gradient; illumination model; reflection map equation; texture mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.304
  • Filename
    5655557