Proceedings: GI 1998

Multi-Granularity Noise for Curvilinear Grid LIC

Xiaoyang Mao, Lichan Hong, Arie Kaufman, Noboru Fujita, Makoto Kikukawa

Proceedings of Graphics Interface '98: Vancouver, British Columbia, Canada, 18 - 20 June 1998, 193-200

DOI 10.20380/GI1998.24

  • BibTeX

    @inproceedings{MHKFKI-gi98,
     title = {Multi-Granularity Noise for Curvilinear Grid LIC},
     author = {Xiaoyang Mao and Lichan Hong and Arie Kaufman and Noboru Fujita and Makoto Kikukawa},
     booktitle ={Proceedings of the Graphics Interface 1998 Conference, June 18-20, 1998, Vancouver, BC, Canada},
     year = {1998},
     month = {June},
     pages = {193--200},
     url = {http://graphicsinterface.org/wp-content/uploads/gi1998-24.pdf}
    }
    

Abstract

A major problem of the existing curvilinear grid Line Integral Convolution (LIC) algorithm is that the resulting LIC textures may be distorted after being mapped onto the parametric surfaces, since a curvilinear grid usually consists of cells of different sizes. This paper proposes a way for solving the problem through using multi-granularity noise as the input image for LIC. A stochastic sampling technique called Poisson ellipse sampling is employed to resample the computational space of a curvilinear grid into a set of randomly distributed points. From this set of points, we are able to reconstruct a noise image with its local noise granularity being adapted to the physical space cell size of the grid.