Journal of System Simulation ›› 2015, Vol. 27 ›› Issue (8): 1815-1823.

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Intelligent Combination of Discrete LOD Model for 3D Visualization Based on Visual Perception and Information Entropy Fusion

Che Li1,2, Kang Fengju1,2   

  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
  • Received:2015-06-15 Revised:2015-07-03 Online:2015-08-08 Published:2020-08-03
  • About author:Che Li (1986-), male, Weinan, Shaanxi, China, Doctor, research direction: computer simulation and virtual reality technology; Kang Fengju (1947-), male, Nantong, Jiangsu, China, professor, research direction: system modeling and simulation

Abstract: With respect to the problem that single-index evaluation of visual quality in the process of intelligent combination of discrete Level-of-Detail (LoD) model for three-dimensional (3D) visualization can easily result in low reliability. Human visual perception and information entropy based multi-index fusion intelligent combination of discrete LoD model algorithm was proposed. Through analyzing the visual perception based image quality evaluation index, multi-index fusion evaluation intelligent combination of discrete LoD model framework was built. Comparative experiment with single index model combination bases on PSO method was designed. Model combination optimizing process utilized modified Particle Swarm Optimization (PSO) method which was strengthened by Genetic Algorithm (GA) to avoid falling into local optimum. Experimental results demonstrate that the proposed method can design high reliability 3D visualization effect which is adapted to human visual perception characteristics, and outperforms other matching methods in designing efficiency and requires no user interaction.

Key words: 3D visualization, intelligent combination, Level-of-Detail, visual perception, multi-index fusion, GA-PSO

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