Combinatorial Optimization of Resolution Level in Three-dimensional Visualization

Authors

Yanyang Zeng, 1. College of Computer Science and Technology of Henan Polytechnic University, Jiaozuo 454000, China; ;
Zhenhai Yu, 2. Systems Engineering Institute of China Shipbuilding, Beijing 100941, China; ;
Weidong Liu, 3. School of Marine Engineering of Northwestern Polytechnical University, Xi'an 710072, China;

Abstract

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.

Recommended Citation

Zeng, Yanyang; Yu, Zhenhai; and Liu, Weidong (2020) "Combinatorial Optimization of Resolution Level in Three-dimensional Visualization," Journal of System Simulation: Vol. 27: Iss. 8, Article 23.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss8/23

First Page

1809

Revised Date

2015-07-09

DOI Link

https://doi.org/

Last Page

1814

CLC

TP391.9

Recommended Citation

Zeng Yanyang, Yu Zhenhai, Liu Weidong. Combinatorial Optimization of Resolution Level in Three-dimensional Visualization[J]. Journal of System Simulation, 2015, 27(8): 1809-1814.