摘要
针对目前环境艺术设计中智能化效果不理想的现状,研究了一种在物体碰撞检测中检测效率更快、准确率更高的环境艺术设计系统平台。该系统是在研究环境艺术设计情境下的物体碰撞检测过程中受到启发而提出来的。使用果蝇优化算法,通过优化算法模型得到了新的三维情境中物体碰撞检测分析模型。该方法已成功地应用于环境艺术设计情境中碰撞检测效率及准确率的分析中,其性能的优越性已经在不同算法的对比分析中得到了验证。
Based on the unsatisfactory intelligence in the environmental art design,a platform for ecological art design systems with higher detection efficiency,higher accuracy,and better overall performance in object collision detection has been constructed.This system is inspired by the research on object collision detection in environmental art design scenarios.The fruit fly optimization algorithm is used,and a new 3D object collision detection and analysis model is obtained by optimizing the algorithm model.This model has been successfully applied to the analysis of collision detection efficiency and accuracy in environmental art design scenarios,and its performance superiority has been verified in comparative analysis of different algorithms.
作者
刘文刚
蒋煜瑶
LIU Wen-gang;JIANG Yu-yao(The Catholic University of Korea Department of Performing Arts and Culture,Bucheon 14662,South Korea;Lanzhou University of Resources and Environment Department of Ethnic Crafts,Lanzhou 730030,China)
出处
《信息技术》
2024年第11期187-194,共8页
Information Technology
关键词
大数据信息化
环境艺术设计
智能化
果蝇优化算法
碰撞检测
big data informatization
environmental art design
intelligent
fruit fly optimization algorithm
collision detection