基于感知与信息熵融合的离散LOD模型智能组合

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (8): 1815-1823.

基于感知与信息熵融合的离散LOD模型智能组合

车力^1,2, 康凤举^1,2

1.西北工业大学航海学院, 西安 710072;
2.水下信息处理与控制国家级重点实验室, 西安 710072

收稿日期:2015-06-15 修回日期:2015-07-03 出版日期:2015-08-08 发布日期:2020-08-03

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

Che Li^1,2, Kang Fengju^1,2

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

摘要/Abstract

摘要： 针对图像信息熵单指标评价在三维场景离散LOD模型智能组合优化过程中容易造成可信度低的问题,提出了一种基于视觉感知与信息熵融合的离散LOD模型智能组合方法。分析了基于视觉感知的图像质量评价指标,构建了多指标融合的离散LOD模型智能组合框架,设计了与基于PSO的单指标离散LOD模型组合寻优对比实验。结合遗传算法的思想对粒子群算法进行改进,克服了在模型组合寻优过程中粒子群算法易于陷入局部最优的缺点。实验结果表明,本文方法能够设计出符合人类视觉感知特征的高可信度三维场景,与其他方法相比具有模型组合寻优效率高、无需人工交互的优点。

关键词: 三维可视化, 智能组合, LOD, 视觉感知, 多指标融合, GA-PSO

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

中图分类号:

TP391.9

车力, 康凤举. 基于感知与信息熵融合的离散LOD模型智能组合[J]. 系统仿真学报, 2015, 27(8): 1815-1823.

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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