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作 者:李伊 梁敏华[1] 董健[1] LI Yi;LIANG Min-hua;DONG Jian(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China)
机构地区:[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033
出 处:《红外》2023年第10期21-33,共13页Infrared
基 金:江西省教育厅科学技术研究项目(GJJ200432);江西省重点研发计划项目(20161BBE50103)。
摘 要:为实现微小物体的全方位高精度三维测量,构建了一种利用结构光照明的高精度三维测量系统。对系统采用的双远心镜头、相位解算方法、多投影点云融合算法等进行研究。首先利用双远心测量头采集图像数据,然后采用多频相移与互补格雷码相移两种方法进行相位解算,并分析比较两种方法在重建精度和重建效率方面的性能,最后针对特定点云噪声提出相位滤波方法、优化的统计滤波方法以及多投影点云融合匹配校正方法。实验结果表明,系统应针对不同使用场景选用不同的相位解算方法;相较于单投影双目系统,基于多投影的本系统能获取目标全貌,且平面及高度测量精度均在10μm以下;在GPU加速后,测量速度提升218倍。该系统基本满足高精度工业测量的精度高、效率高等要求。In order to realize the full range and high-precision 3D measurement of small objects,a high-precision 3D measurement system using structured light illumination is constructed.The double telecentric lens,phase solving method and multi-projection point cloud fusion algorithm used in the system are studied.Firstly,the image data is collected by dual telecentric measuring head,then the phase is solved by multi-frequency phase shift and complementary gray code phase shift,and the performance of the two methods in terms of reconstruction accuracy and reconstruction efficiency is analyzed and compared.Finally,the phase filtering method,the optimized statistical filtering method and the multi-projection point cloud fusion matching correction method are proposed for specific point cloud noise.The experimental results show that the system should choose different phase solving methods according to different scenarios.Compared with the single projection binocular system,the multi-projection based system can obtain the full picture of the target,and the precision of the plane and height measurement is less than 10 μm.After GPU acceleration,the measurement speed is increased by 218 times.The system can basically meet the requirements of high precision and high efficiency of high precision industrial measurement.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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