关键词: 三维视景, 模型分辨率层级, 组合优化, 图像信息熵, 粒子群

Abstract: In the process of developing three-dimensional visualization, it is necessary to select and adjust the combined solutions of the resolution hierarchy of multiple models. If only by artificial attempting will lead to the more times of iteration and lower design efficiency, therefore, a method, combinatorial optimization of models' resolution level, is proposed. Image information entropy is introduced for evaluating the image quality of the scene. According to the assessed value of visual effects and it is provided to the above method based on particle swarm optimization (PSO), the models with the resolution hierarchy can be matched and reorganized. Through the iterative correction and combination, the new drawn scene achieves a more realistic visual result. And the intelligent optimization of the resolution level of models is achieved. Simulation results show that this method is effective to reduce the number of evaluations and eliminates redundant portfolio of computing, the final scene which is drawn by the optimal combination solution can be quickly obtained.

Key words: 3D visualization, resolution level of model, combinatorial optimization, image information entropy, PSO