[1] 许增朴, 王鑫, 王永强, 等. 特殊IC板管脚焊点缺陷检测中景深的研究［J］. 光学技术,2015, 41(03):261-264.

    Xu Zengpu, Wang Xin, Wang Yongqiang, et al. Study on depth of field in defect detection of special IC board pin joints［J］. Optical Technology,2015,41(03):261-264.

[2] 邓海涛, 李建辉, 吴捷, 等. 基于FPGA的芯片管脚边缘检测系统的设计与实现［J］. 中国体视学与图像分析,2016,21(02):163-172.

    Deng Haitao, Li Jianhui, Wu Jie, et al. Design and implementation of chip pin edge detection system based on FPGA［J］. Chinese Journal of Stereology and Image Analysis,2016,21(02):163-172.

[3] 李本红, 张淼, 欧幸福. 基于机器视觉的SOP芯片管脚缺陷检测系统设计［J］. 电子器件,2017,40(01):171-178.

    Li Benhong, Zhang Wei, Ou Hsing. Design of SOP chip pin defect detection system based on machine vision［J］. Electronic Devices,2017,40(01):171-178.

[4] 宋丽梅, 杨宏超, 魏泽, 等. 基于高精度轮廓线激光的芯片管脚共面度视觉检测系统［J］. 光学技术,2018,44(6):686-689.

    Song Limei, Yang Hongchao, Wei Ze, et al. Chip-pin coplanar visual inspection system based on high-precision contour laser［J］. Optical Technology,2018,44(6):686-689.

[5] 刘文涛. 基于机器视觉的IC缺陷检测的研究［D］. 广州:华南理工大学,2015:60-61.

    Liu Wentao. Research on IC defect detection based on machine vision［D］. Guangzhou:South China University of Technology,2015:60-61.

[6] 魏泽. 管脚共面度的高精度三维检测与识别方法研究［D］. 天津:天津工业大学,2018:58-59.

    Wei Ze. Research on high-precision three-dimensional detection and identification method of pin coplanarity［D］. Tianjin:Tianjin Polytechnic University,2018:58-59.

[7] 徐晴雯, Schwertfeger S R. 多种激光传感器实验对比与评估［J］. 电子设计工程,2018,26(05):111-115.

    Xu Qingwen, Schwertfeger S R. Comparison and evaluation of various laser sensors［J］. Electronic Design Engineering,2018,26(05):111-115.

[8] Rioux M, Bechthold G, Taylor D, et al. Design of a large depth of view three-dimensional camera for robot vision［J］. Optical Engineering,1987,26(12):1245-1250.

[9] 詹坤烽, 陈文建, 李武森, 等. 线激光三维场景重建系统及误差分析［J］. 中国激光,2018,45(12):173-82.

    Zhan Kunyu, Chen Wenjian, Li Wusen, et al. Line laser 3D scene reconstruction system and error analysis［J］. China Laser,2018,45(12):173-82.

[10] 房宏, 于晶晶. 基于激光传感器的机器人位姿跟踪［J］. 激光杂志,2015,36(10):91-4.

    Fang Hong, Yu Jingjing. Robotic pose tracking based on laser sensor［J］. Journal of Lasers,2015,36(10):91-4.

[11] Xu J, Gao B, Liu C, et al. An omnidirectional 3D sensor with line laser scanning［J］. Optics and Lasers in Engineering,2016,84:96-104.

[12] Hu L, Zhu G, Huang J, et al. A conversion method of two-dimensional image into three-dimensional holographic display［J］. Optik,2019,194.

[13] Nurunnabi A, Sadahiro Y, Laefer D F. Robust statistical approaches for circle fitting in laser scanning three-dimensional point cloud data［J］. Pattern Recognition,2018,81:417-431.

[14] 徐同旭, 黄丹平, 郭康, 等. 新型光缆直径缺陷检测系统研究［J］. 现代制造工程,2018(07):116-123.

    Xu Tongxu, Huang Danping, Guo Kang, et al. Research on new optical cable diameter defect detection system［J］. Modern Manufacturing Engineering,2018(07):116-123.

[15] Dobosz M, Jankowski M, Mruk J. Application of interference sensor of angular micro-displacement in measurements of machine rotational errors［J］. Precision Engineering,2019,60:12-20.

[16] 王伟华. 基于机器视觉的表贴芯片缺陷检测系统的研究［D］.西安:西安建筑科技大学,2017:34-35.

    Wang Weihua. Research on surface detecting chip defect detection system based on machine vision［D］. Xi'an: Xi'an University of Architecture and Technology,2017:34-35.

[17] 巢渊. 基于机器视觉的半导体芯片表面缺陷在线检测关键技术研究［D］. 南京:东南大学,2017:90-102.

    Chao Yuan. Research on key technologies of on-line detection of surface defects in semiconductor chips based on machine vision［D］. Nanjing:Southeast University,2017:90-102.

[18] 旷辉. 基于机器视觉的表面贴装芯片管脚检测的研究［D］. 广东:广东工业大学,2006:19-33.

    Qi Hui. Research on the detection of surface mount chip pin based on machine vision［D］. Guangdong:Guangdong University of Technology,2006:19-33.

[19] 贾凯华, 李和志, 朱鹏. 一种基于投影变换的深度图像生成算法［J］. 测绘工程,2016,25(12):61-64.

    Jia Kaihua, Li Hezhi, Zhu Peng. A depth image generation algorithm based on projection transform［J］. Surveying and Mapping Engineering,2016,25(12):61-64.

[20] 何华, 李宗春, 阮焕立, 等. 基于二维投影的散乱点云曲面重建［J］. 北京测绘,2017(S1):96-100.

    He Hua, Li Zongchun, Pei Huanli, et al. Reconstruction of scattered point cloud surface based on two-dimensional projection［J］. Beijing Surveying and Mapping,2017(S1): 96-100.

[21] Huang D, Liao S, Sunny A I, et al. A novel automatic surface scratch defect detection for fluid-conveying tube of Coriolis mass flow-meter based on 2D-direction filter［J］. Measurement,2018,126:332-341.

[22] 郭康, 黄丹平, 王磊, 等. 基于机器视觉的曲面字符缺陷检测系统研究［J］. 现代制造工程,2016(12):122-127.

    Guo Kang, Huang Danping, Wang Lei, et al. Research on surface character defect detection system based on machine vision［J］. Modern Manufacturing Engineering,2016(12):122-127.

[23] Erturul  F, Taluk M E. A novel version of k nearest neighbor: Dependent nearest neighbor［J］. Applied Soft Computing,2017,55:480-90.

[24] 张靖. 基于克里金算法的点云数据插值研究［D］. 西安:长安大学,2014:2-3.

    Zhang Jing. Research on point cloud data interpolation based on kriging algorithm［D］. Xi'an: Chang'an University,2014:2-3.

[25] 黄思奇, 夏海英. 基于点云面的区域性三维重建及点云拼接［J］. 计算机应用研究,2016,33(12):3909-3911+19.

    Huang Siqi, Xia Haiying. Regional 3D reconstruction and point cloud splicing based on point cloud surface［J］. Journal of Computer Applications,2016,33(12):3909-3911+19.