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基于改进粒子群算法的动态3D实时建模技术
引用本文: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.
作者姓名:郑朝鑫  董晨  贺国荣  陈荣忠  熊子奇
作者单位:福州大学 数学与计算机科学学院,福州 350116;福建省人大常委会,福州 350001;福州大学 数学与计算机科学学院,福州 350116;网络系统信息安全福建省高校重点实验室,福州 350116
基金项目:国家自然科学基金;创新项目
摘    要:针对传统3D建模技术无法满足在脱离专业测量工具的情况下,实时创建出与用户所处房间等比例尺寸的3D模型的需求。提出一种基于陀螺仪传感器结合改进粒子群算法计算房间3D模型尺寸与镜头位置的动态3D建模技术,该技术可以实现实时房间等比例建模,使用者可以预览到整个房间所有方位的装修效果,让用户对房间整体装修效果有直观的印象,操作方便且实时性强。实验结果表明,改进粒子群算法的动态3D实时建模技术解决了国内传统3D建模技术测量不精确的缺陷,具有一定的理论和实际意义。

关 键 词:粒子群优化算法  3D建模  陀螺仪传感器  动态建模

Dynamic 3D Real-Time Modeling Technology Based on Improved Particle Swarm Optimization
ZHENG Chaoxin,DONG Chen,HE Guorong,CHEN Rongzhong,XIONG Ziqi.Dynamic 3D Real-Time Modeling Technology Based on Improved Particle Swarm Optimization[J].Computer Engineering and Applications,2019,55(5):65-71.
Authors:ZHENG Chaoxin  DONG Chen  HE Guorong  CHEN Rongzhong  XIONG Ziqi
Affiliation:1.College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, China 2.Standing Committee of the Fujian Provincial People’s Congress, Fuzhou 350001, China 3.University Key Laboratory of Information Security of Network Systems, Fuzhou 350116, China
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.
Keywords:particle swarm optimization  3D modeling  gyroscope sensor  dynamic modeling  
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