Journal of System Simulation
Abstract
Abstract: The traditional design process of large-scale 3D scene is cumbersome and lengthy and fail to provide ideal scene rendering effect. Aiming at this problem, a feedback mechanism based combinatorial optimization of level of detail (LOD) model for large-scale 3D scene was proposed. Through analyzing the influence of observation distance, moving speed and other factors on visual perception, the mathematical model of visual sensitivity was established. By the frame rate and visualization effect feedback, invoking the model level selection criterion to adjust the model's LOD level, and eventually an optimal scene model combination solution could be obtained. Experimental results demonstrate that the proposed method can effectively reduce the number of combinatorial evaluation, and the higher fidelity 3D scene generated by the optimal model combination solution can be quickly obtained.
Recommended Citation
Li, Che; Kang, Fengju; and Hou, Xueli
(2020)
"Novel Hierarchical Level of Detail Combinatorial Optimization Method for Large-scale 3D Scene,"
Journal of System Simulation: Vol. 29:
Iss.
9, Article 26.
DOI: 10.16182/j.issn1004731x.joss.201709026
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/26
First Page
2073
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201709026
Last Page
2080
CLC
TP391.41
Recommended Citation
Che Li, Kang Fengju, Hou Xueli. Novel Hierarchical Level of Detail Combinatorial Optimization Method for Large-scale 3D Scene[J]. Journal of System Simulation, 2017, 29(9): 2073-2080.
DOI
10.16182/j.issn1004731x.joss.201709026
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