DocumentCode
1795019
Title
Large scale terrain tessellation in flight simulator visual system
Author
Liu, Yanbing ; Chang, H. ; Dai, S.L.
Author_Institution
State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China
fYear
2014
fDate
8-10 Aug. 2014
Firstpage
1028
Lastpage
1033
Abstract
In order to solve the problem of high CPU usage and long rendering time in large scale terrain rendering in the flight simulator visual system, a GPU-based terrain tessellation algorithm is presented. We introduce an adaptive tessellation factor model combines screen-space projected area, terrain energy function and movement error function. This model conforms more closely to the hypsography, the velocity of viewpoint movement and the line of sight. And it separates the calculation of inside and edge tessellation factor in addition. We present a mesh refinement method which combines the PN triangles algorithm with displacement mapping based on mipmap and filtered-fBm. In practice, this method resolves aliasing and angularity in terrain mesh. The experimental results show that this algorithm renders high resolution terrain model in spite of coarse terrain mesh the CPU outputs. It can reduce redundant triangles and shorten the rendering time significantly without decreasing the rendering effect.
Keywords
aerospace simulation; graphics processing units; rendering (computer graphics); terrain mapping; CPU usage; GPU-based terrain tessellation algorithm; PN triangles algorithm; displacement mapping; edge tessellation factor; filtered-fBm; flight simulator visual system; hypsography; large scale terrain tessellation; long rendering time; mipmap; movement error function; screen-space projected area; terrain energy function; Adaptation models; Algorithm design and analysis; Filtering algorithms; Noise; Real-time systems; Rendering (computer graphics); Visual systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location
Yantai
Print_ISBN
978-1-4799-4700-3
Type
conf
DOI
10.1109/CGNCC.2014.7007348
Filename
7007348
Link To Document