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Computer Science and Convergence pp 3–9Cite as

A Large-Scale Terrain Rendering Method With GPU-Based Geometry Compression

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 114))

Abstract

We present a large-scale terrain rendering method, which is based on restricted quadtree meshes. The error metric method corresponds to parallel computing requires, and processes the error metric and triangulation by GPU, to improve the rending efficiency of image hardware, and save the running time of CPU. For large terrain data, terrain data are compressed and stored in special method, and dynamically transmitted to graphic hardware according to rendering demand, and decoded by GPU too. Our compression method significantly reduces bandwidth requirements that is the bottleneck of terrain rendering.

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, JiLin University, Changchun, Jilin, China

    Zihou Ge & Wenhui Li

  2. Aeronautical Engineering department, Aeronautical University of Air Force, Changchun, Jilin, China

    Zihou Ge

Authors
  1. Zihou Ge
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  2. Wenhui Li
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Corresponding author

Correspondence to Zihou Ge .

Editor information

Editors and Affiliations

  1. SeoulTech, Computer Science and Engineering, Seoul University of Science & Technology, Gongreung 2-dong 172, Seoul, 139-742, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Inst. Computer Science & Information, Engineering, National Ilan University, 1 Sec. 1, Shen-Lung Rd., I-Lan, 260, Taiwan R.O.C.

    Han-Chieh Chao

  3. , Computer Science & Software Engineering, Monmouth University, W. Long Branch, 07764, USA

    Mohammad S. Obaidat

  4. , Division of e-Business, Kyungnam University, Changwon, Korea, Republic of (South Korea)

    Jongsung Kim

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© 2012 Springer Science+Business Media B.V.

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Ge, Z., Li, W. (2012). A Large-Scale Terrain Rendering Method With GPU-Based Geometry Compression. In: J. (Jong Hyuk) Park, J., Chao, HC., S. Obaidat, M., Kim, J. (eds) Computer Science and Convergence. Lecture Notes in Electrical Engineering, vol 114. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2792-2_1

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  • DOI: https://doi.org/10.1007/978-94-007-2792-2_1

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2791-5

  • Online ISBN: 978-94-007-2792-2

  • eBook Packages: EngineeringEngineering (R0)

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