计算机工程与应用2019，Vol.55Issue(5)：65-71,7.DOI:10.3778/j.issn.1002-8331.1804-0116
基于改进粒子群算法的动态3D实时建模技术
Dynamic 3D Real-Time Modeling Technology Based on Improved Particle Swarm Optimization
摘要
Abstract
For the traditional 3D modeling technology, it cannot meet the demand of 3D models with the user’s room and other dimensions in real time without the professional measurement tools. In this paper, it proposes a dynamic 3D modeling method based on the gyroscope sensor and improved particle swarm algorithm. This method is employed to calculate the size and position of the 3D model of the room, which can achieve real-time room scale modeling, etc. , so that users can preview the decoration effect of the entire room in all directions, the overall impression of the room as a whole, easy to operate and real-time. Experimental results show that the prefabricated effect previewing system based on the improved particle swarm optimization algorithm solves the defects of inaccurate measurement in the traditional 3D modeling techniques in China and has certain theoretical and practical significance.关键词
粒子群优化算法/3D建模/陀螺仪传感器/动态建模Key words
particle swarm optimization/ 3D modeling/ gyroscope sensor/ dynamic modeling分类
信息技术与安全科学引用本文复制引用
郑朝鑫,董晨,贺国荣,陈荣忠,熊子奇..基于改进粒子群算法的动态3D实时建模技术[J].计算机工程与应用,2019,55(5):65-71,7.基金项目
国家自然科学基金(No.61472270). （No.61472270）
