Media & Communication College, Shandong University of Arts, Jinan, Shandong 250300, China.
Comput Intell Neurosci. 2021 Aug 28;2021:7277733. doi: 10.1155/2021/7277733. eCollection 2021.
In recent years, great progress has been made in 3D simulation modeling of instant network communication system, such as the application of virtual reality technology and 3D virtual animation online modeling technology. Facing the increasing demand of different industries, how to build an instant network communication system for 3D virtual animation has become a research hotspot. On this basis, the construction method of fast instant network communication system based on convolutional neural network and fusion morphological 3D simulation model is studied. This paper analyzes the research status of instant network communication system. The experiment optimizes and improves the shortcomings of the current research hotspot of virtual animation instant network communication system and takes the morphological 3D simulation model fusion as the core for in-depth optimization. Finally, the experimental results show that the fusion morphological 3D simulation model can reconstruct the standard 3D virtual animation model according to different needs and can quickly model the optimization strategy according to the local differences of different animations. The response accuracy of the network communication system reaches 97.7%.
近年来,即时网络通信系统的 3D 仿真建模取得了重大进展,例如虚拟现实技术和 3D 虚拟动画在线建模技术的应用。面对不同行业需求的不断增加,如何构建 3D 虚拟动画的即时网络通信系统已成为研究热点。在此基础上,研究了基于卷积神经网络和融合形态学 3D 仿真模型的快速即时网络通信系统的构建方法。本文分析了即时网络通信系统的研究现状。实验优化并改进了当前虚拟动画即时网络通信系统研究热点的不足之处,并以形态学 3D 仿真模型融合为核心进行了深入优化。最后,实验结果表明,融合形态学 3D 仿真模型可以根据不同需求重建标准的 3D 虚拟动画模型,并可以根据不同动画的局部差异快速制定优化策略。网络通信系统的响应准确率达到 97.7%。