Adaptive LOD representation of terrain model based on quad-tree

Haohai Fu; Huamin Yang; Chunyi Chen; Hua Zhang; Meng Hao; Tianhao Yu

doi:10.1117/12.2600339

1 June 2021 Adaptive LOD representation of terrain model based on quad-tree

Haohai Fu, Huamin Yang, Chunyi Chen, Hua Zhang, Meng Hao, Tianhao Yu

Proceedings Volume 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021); 1184811 (2021) https://doi.org/10.1117/12.2600339
Event: International Conference on Signal Image Processing and Communication (ICSIPC 2021), 2021, Chengdu, China

Abstract

Many applications require real-time rendering while ensuring the accuracy of the terrain model. In response to this problem, a lot of research has been conducted in the academic community. Based on previous studies, this paper studies the LOD representation of a regular terrain scene based on a quad-tree, and proposes an adaptive LOD representation method. This method has two advantages: (1) When the quad-tree is used to represent the terrain scene, it is determined whether the quad-tree node needs to be further subdivided according to the number of triangles in the patch. By parameterizing the indicator, it realized the adaptive terrain storage structure; (2) LOD is only performed for the scene within the viewing cone, and the subdivision is mainly based on the viewpoint distance, and the relationship between the subdivision level and the rendering area is quantified. The experimental results show that when the drawing scene is large, the algorithm can greatly reduce the amount of calculation, improve the rendering efficiency of the terrain model, and ensure a good experience of the entire scene.

Citation Download Citation

Haohai Fu, Huamin Yang, Chunyi Chen, Hua Zhang, Meng Hao, and Tianhao Yu "Adaptive LOD representation of terrain model based on quad-tree", Proc. SPIE 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021), 1184811 (1 June 2021); https://doi.org/10.1117/12.2600339

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