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
Link To Document