Evaluation Method of Dimensional Visual Effects Based on Improved Grey Clustering

Authors

Yanyang Zeng, College of Computer Science and Technology of Henan Polytechnic University, Jiaozuo 454000, China;
Panpan Jia, College of Computer Science and Technology of Henan Polytechnic University, Jiaozuo 454000, China;

Abstract

Abstract: Currently, the assessment of the three-dimensional visual effects is concentrated on the assessment methods, while ignoring the role of the index system. Therefore, an index system about fidelity evaluation of the visual simulation was proposed, including the various steps of the construction of the entire visual simulation system. The steps are from three-dimensional modeling to the output of simulation screen. On this basis, the evaluation method of dimensional visual effects was proposed based on improved grey clustering, and it is the combination of subjective and objective. The fuzzy evaluation was used to improve the method of determining the weights, and the integrated clustering coefficient could be obtained by weighting of the underlying index. So that different picture could be compared and analyzed, regarding a virtual waves environment as an assess example. The simulation results show that the method can reasonably solve the problem of the three-dimensional visual effects assessment.

Recommended Citation

Zeng, Yanyang and Jia, Panpan (2020) "Evaluation Method of Dimensional Visual Effects Based on Improved Grey Clustering," Journal of System Simulation: Vol. 27: Iss. 10, Article 40.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss10/40

First Page

2497

Revised Date

2015-07-29

DOI Link

https://doi.org/

Last Page

2501

CLC

TP391.9

Recommended Citation

Zeng Yanyang, Jia Panpan. Evaluation Method of Dimensional Visual Effects Based on Improved Grey Clustering[J]. Journal of System Simulation, 2015, 27(10): 2497-2501.