Share Email Print
cover

Proceedings Paper

A GPU-based mipmapping method for water surface visualization
Author(s): Hua Li; Wei Quan; Chao Xu; Yan Wu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Visualization of water surface is a hot topic in computer graphics. In this paper, we presented a fast method to generate wide range of water surface with good image quality both near and far from the viewpoint. This method utilized uniform mesh and Fractal Perlin noise to model water surface. Mipmapping technology was enforced to the surface textures, which adjust the resolution with respect to the distance from the viewpoint and reduce the computing cost. Lighting effect was computed based on shadow mapping technology, Snell’s law and Fresnel term. The render pipeline utilizes a CPU-GPU shared memory structure, which improves the rendering efficiency. Experiment results show that our approach visualizes water surface with good image quality at real-time frame rates performance.

Paper Details

Date Published: 6 March 2018
PDF: 6 pages
Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1061003 (6 March 2018); doi: 10.1117/12.2283513
Show Author Affiliations
Hua Li, Changchun Univ. of Science and Technology (China)
National Local Combined Engineering Research Ctr. of Special Film Technology and Equipment (China)
Wei Quan, Changchun Univ. of Science and Technology (China)
National Local Combined Engineering Research Ctr. of Special Film Technology and Equipment (China)
Chao Xu, Changchun Univ. of Science and Technology (China)
Yan Wu, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10610:
MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging
Hong Sun; Henri Maître; Bruce Hirsch, Editor(s)

© SPIE. Terms of Use
Back to Top