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High-Performance GPU based Planetary-Scale Terrain Visualization

  • Zafar Masood
  • , Jiangbin Zheng
  • , Idrees Ahmad
  • , Muhammad Irfan
  • , Amir Saeed
  • Northwestern Polytechnical University Xian
  • International Islamic University Islamabad
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

High-performance visualization of planetary-scale multi-resolution terrain for high-fidelity display systems is a challenging task. Real-world terrain visualization requires real-time modeling and rendering of the large-scale multi-resolution model. This work proposes a novel method for high-performance multi-resolution terrain modeling and rendering using hardware tessellation. The proposed method submits patch primitives using geometry instancing for high-performance. Patch Level-of-detail (LOD) is simplified using a view-dependent simplification algorithm with error control. The proposed simplification algorithm simplifies the model using viewer information and local height variation for optimum triangulation. Patch simplified LOD is tessellated utilizing a fixed-function tessellator. Height grid-aligned post-tessellated vertices are displaced in 3D to construct accurate high-frequency surface details. Finally, multi-resolution satellite imagery and normal maps are utilized for real-world features display. We evaluated the proposed method for high display resolutions and achieved high rendering rate. The proposed method results are compared with clipmap-based and hardware tessellation based methods.

源语言英语
主期刊名ICIGP 2022 - Proceedings of the 2022 5th International Conference on Image and Graphics Processing
出版商Association for Computing Machinery
261-267
页数7
ISBN(电子版)9781450395465
DOI
出版状态已出版 - 7 1月 2022
活动5th International Conference on Image and Graphics Processing, ICIGP 2022 - Virtual, Online, 中国
期限: 7 1月 20229 1月 2022

出版系列

姓名ACM International Conference Proceeding Series

会议

会议5th International Conference on Image and Graphics Processing, ICIGP 2022
国家/地区中国
Virtual, Online
时期7/01/229/01/22

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