Research and realization of large-scale complex terrain generation

Jian-yu Wang; Xiao-xia Zhong; Hui-zhong Wu

doi:10.1117/12.477098

31 July 2002 Research and realization of large-scale complex terrain generation

Jian-yu Wang, Xiao-xia Zhong, Hui-zhong Wu

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477098
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

Abstract

An algorithm of LOD automatically generation through sparsely resampling technique is presented in this paper. Based on DEM uniform grid model, "block" is taken as the space unit of terrain simplification and a multi-LOD data structure is built to store every level of models. The complexity of calculation is greatly reduced, the rendering of the terrain model is simplified effectively, and the efficiency of the terrain generation is improved. Additionally, the effects of viewpoint and view direction are considered, which makes the 3D terrain more realistic. On the basis of the theory of this algorithm, a system for 3D complex terrain generation is realized through Visual C++6.O and OpenGL programming. The dynamic, real-time and visual characters of this system are satisfying, which verifies the validity ofthe algorithm further.

Citation Download Citation

Jian-yu Wang, Xiao-xia Zhong, and Hui-zhong Wu "Research and realization of large-scale complex terrain generation", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477098

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available