基于三维点云的机械加工精度自动检测方法
|
摘要
本文提出了一种基于三维点云的零件精度自动检测方法,对传统ICP(迭代最近邻点)方法进行改进,将基于配准误差的点对权值添加到坐标转换参数和总体残差的迭代计算过程中,克服了误差点对配准的影响;根据误差分布假设检验原理设计加工精度快速评价方法,帮助质检人员快速识别问题零件,提高检测效率和精度;通过试验验证了改进ICP算法对局部误差点云配准的鲁棒性以及加工精度评价方法的准确性。
An automatic detection method for parts accuracy based on 3D point cloud is ploposed in this paper.The traditional ICP(Iterative Closest Point)method is improved.The point-to-weight based on the registration error is added to the iterative calculation process of the coordinate transformation parameters and the overall residual,which overcomes the influence of the error point on the registration.According to the error distribution hypothesis test principle,a rapid evaluation method of machining accuracy is designed,which can help quality inspectors to quickly identify problem parts and improve detection efficiency and accuracy.The robustness improved ICP algorithm for local error point cloud registration and the machining accuracy evaluation method are verified by experiments.
An automatic detection method for parts accuracy based on 3D point cloud is ploposed in this paper.The traditional ICP(Iterative Closest Point)method is improved.The point-to-weight based on the registration error is added to the iterative calculation process of the coordinate transformation parameters and the overall residual,which overcomes the influence of the error point on the registration.According to the error distribution hypothesis test principle,a rapid evaluation method of machining accuracy is designed,which can help quality inspectors to quickly identify problem parts and improve detection efficiency and accuracy.The robustness improved ICP algorithm for local error point cloud registration and the machining accuracy evaluation method are verified by experiments.
引文
[1]Richard W,Bono Micheal J,Dillon,等.用于模态和NVH试验的三维数字化坐标仪[J].振动、测试与诊断,2001(4):57-59,65.
[2]季东兵.汽车副车架三维数字化模型构建及检测[D].长春:长春理工大学,2017.
[3]黄源,达飞鹏,陶海跻.一种基于特征提取的点云自动配准算法[J].中国激光,2015,42(3):1-7.
[4]刘涛,吴军,王霞琴,等.复杂三维曲面涡旋零件的精度检测[J].机械制造,2014,52(8):78-80.
[5]刘国超,梁辉.三维激光扫描技术在异形产品表面加工质量检测中的应用[J].勘察科学技术,2015(4):47-51.
[6]黄伟国,顾超,朱忠奎.用于目标识别的PCA-SC形状匹配算法[J].光学精密工程,2013,21(8):2103-2110.
[7]宋海峰,陈广胜,杨巍巍.基于PCA的高光谱遥感图像分类[J].测绘工程,2017,26(12):17-20,26.
[8]Paul J B,Neil D M.A method for registration of 3-D shapes[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(2):239-256.
[9]Chen Y,Medioni G.Object modeling by registration of multiple range images[J].Image and Vision Computing,1992,10:145-155.
[10]Shun′ichi K,Tomonori K,Atsushi M.Robust matching of 3D contours using iterative closest point algorithm improved by M-estimation[J].Pattern Recognition,2003,36(9):33-35.
[11]卞为梅.假设检验在数据分析中的应用[J].中国质量,2004(3):79-81.
[2]季东兵.汽车副车架三维数字化模型构建及检测[D].长春:长春理工大学,2017.
[3]黄源,达飞鹏,陶海跻.一种基于特征提取的点云自动配准算法[J].中国激光,2015,42(3):1-7.
[4]刘涛,吴军,王霞琴,等.复杂三维曲面涡旋零件的精度检测[J].机械制造,2014,52(8):78-80.
[5]刘国超,梁辉.三维激光扫描技术在异形产品表面加工质量检测中的应用[J].勘察科学技术,2015(4):47-51.
[6]黄伟国,顾超,朱忠奎.用于目标识别的PCA-SC形状匹配算法[J].光学精密工程,2013,21(8):2103-2110.
[7]宋海峰,陈广胜,杨巍巍.基于PCA的高光谱遥感图像分类[J].测绘工程,2017,26(12):17-20,26.
[8]Paul J B,Neil D M.A method for registration of 3-D shapes[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(2):239-256.
[9]Chen Y,Medioni G.Object modeling by registration of multiple range images[J].Image and Vision Computing,1992,10:145-155.
[10]Shun′ichi K,Tomonori K,Atsushi M.Robust matching of 3D contours using iterative closest point algorithm improved by M-estimation[J].Pattern Recognition,2003,36(9):33-35.
[11]卞为梅.假设检验在数据分析中的应用[J].中国质量,2004(3):79-81.