Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (9): 2073-2080.doi: 10.16182/j.issn1004731x.joss.201709026

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Novel Hierarchical Level of Detail Combinatorial Optimization Method for Large-scale 3D Scene

Che Li1,2, Kang Fengju1,2, Hou Xueli3   

  1. 1. Marine College, Northwestern Polytechnical University, Xi'an 710072, China;
    2. National Key Laboratory of Underwater Information Process and Control, Xi′an 710072, China;
    3. School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
  • Received:2017-05-20 Published:2020-06-02
  • About author:Che Li (1986-), male, Weinan, Shaanxi, China, Doctor, research direction: computer simulation and virtual reality technology; Kang Fengju (1947-), male, Nantong, China, professor, research direction is system modeling and simulation.

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.

Key words: visual sensitivity factor, feedback mechanism, combinatorial optimization, LOD, 3D scene

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