Work

Multi-Granularity Noise for Curvilinear Grid LIC

Year: 1998

Type: article

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.

DOI: 10.20380/gi1998.24

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

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W9656049

FWCI: 1.354

Cites:

Cited by: 6

Related to: 10