Journal of System Simulation
Abstract
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.
Recommended Citation
Li, Che and Kang, Fengju
(2020)
"Intelligent Combination of Discrete LOD Model for 3D Visualization Based on Visual Perception and Information Entropy Fusion,"
Journal of System Simulation: Vol. 27:
Iss.
8, Article 24.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss8/24
First Page
1815
Revised Date
2015-07-03
DOI Link
https://doi.org/
Last Page
1823
CLC
TP391.9
Recommended Citation
Che Li, Kang Fengju. Intelligent Combination of Discrete LOD Model for 3D Visualization Based on Visual Perception and Information Entropy Fusion[J]. Journal of System Simulation, 2015, 27(8): 1815-1823.
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