基于瓦片删减的三维模型加载优化方法  

Optimization method for loading 3D model based on tile reduction

作　　者：霍蔚然 聂闻 秦泽坤 HUO Weiran;NIE Wen;QIN Zekun(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350000,China;Quanzhou Institute of Equipment Manufacturing,Haixi Institutes,Chinese Academy of Sciences,Quanzhou,Fujian 362000,China;College of Mechanical and Electrical Engineering,Fujian Agriculture and Forestry University,Fuzhou 350000,China)

机构地区：[1]福州大学电气工程与自动化学院,福州350000 [2]中国科学院海西研究院泉州装备制造研究中心,福建泉州362000 [3]福建农林大学机电工程学院,福州350000

出　　处：《计算机应用文摘》2024年第16期170-174,177,共6页Chinese Journal of Computer Application

基　　金：福建省科学院科学技术合作计划(STS,2022T3051)。

摘　　要：针对Web应用中三维场景加载速率低及加载卡顿的问题,文章提出了一种综合性算法。该算法通过提取三维模型的整体外边界并删除三维场景中模型覆盖区域的数据,优化了三维模型的细节删减和加载效率。同时,结合渐进加载、跃级加载和按需加载3种方法,在综合细节删减和加载优化2种方案的基础上对三维实景模型进行了优化处理。测试分析结果表明,通过上述加载优化处理后,三维模型的加载帧速率有显著提高。其中,细节删减和加载优化分别使帧速率提高了20%和31%;综合处理后,帧速率较原始加载方法提高了58%。这种优化方法较好地实现了三维场景的高效加载和流畅浏览的目标。The article proposes a comprehensive algorithm to address the issues of low loading speed and loading lag in 3D scenes in Web applications.This algorithm optimizes the detail reduction and loading efficiency of the 3D model by extracting the overall outer boundary of the 3D model and deleting the data of the model coverage area in the 3D scene.At the same time,combining three methods of progressive loading,step loading,and ondemand loading,and integrating two schemes of detail reduction and loading optimization,the 3D real-world model is optimized.By testing and analyzing the frame rate before and after loading optimization,the results show that after the above loading optimization processing,the loading frame rate of the 3D model has been significantly improved.Among them,detail reduction and loading optimization respectively increased frame rate by 20%and 31%.After comprehensive processing,the frame rate increased by 58%compared to the original loading method.This optimization method effectively achieves the goal of efficient loading and smooth browsing of 3D scenes.

关 键 词：三维场景轻量化 细节删减 CESIUM 加载策略优化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]