摘要
为解决目前三维扫描系统存在的数据捕捉效率低、曲面扫描精度低等问题,基于Kinect传感器构建了家具自由曲面造型扫描系统。采用OpenNI开源框架来搭建多个Kinect传感器在服务器与驱动之间的交互桥梁,并将被测家具物体的深度图像转变成具有三维坐标值的点云数据。在三维点云数据的后处理阶段,使用PCL开发库实现家具自由曲面三维点云数据配准、融合,以及完整的家具自由曲面造型三维点云模型的展示。实验结果表明,该系统与传统系统相比,数据捕捉效率以及扫描精度更高,而且稳定性强。
A furniture free surface modeling scanning system is constructed based on Kinect sensor to solve the problems of low data capture efficiency and low surface scanning accuracy of the current 3D scanning system.The OpenNI open source framework is adopted to build an interactive bridge between server and driver for multiple Kinect sensors,and the depth image of the measured furniture object is transformed into point cloud data with three⁃dimensional coordinate value.In the post⁃processing stage of 3D point cloud data,the PCL development library is used to realize the 3D point cloud data registration and fusion of furniture freeform surface,and display the complete 3D point cloud model of furniture freeform surface modeling.The experimental results show that in comparison with the traditional system,this system has higher data capture efficiency and scanning accuracy,and has stronger stability.
作者
李晓飞
LI Xiaofei(Inner Mongolia Agricultural University,Hohhot 100018,China)
出处
《现代电子技术》
北大核心
2020年第2期154-156,共3页
Modern Electronics Technique
基金
2018年度内蒙古自治区教育厅项目(NJSY18074)
