作者：陆红红, 殷鸣, 谢罗峰, 向枭, 殷国富
作者单位：四川大学制造科学与工程学院, 四川 成都 610065
关键词：三角重构法;投影仪标定;叶片;重建实验
摘要：
为提高叶片三维检测速度与相位解码过程中的准确性等，通过选择投射解码准确率高的格雷码编码策略的结构光，同时避免叶片表面涂显影剂与粘贴标定点的方法，进行基于面结构光的叶片三维重建技术研究。通过选择合理的实验设备，设计机械结构，搭建一种基于面结构光的三维视觉检测实验系统。对三维视觉检测实验系统的标定方法与重构算法进行理论研究，利用三维视觉检测实验系统完成叶片某一位置的三维重构实验，并获得叶片的离散点云数据；试验结果进一步论证所设计系统的可行性，可为后续叶片三维视觉检测实验系统的研究提供基础。
Research on 3D reconstruction technology of blade based on surface structured light
LU Honghong, YIN Ming, XIE Luofeng, XIANG Xiao, YIN Guofu
School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China
Abstract: In order to improve the accuracy of the three-dimensional detection speed and phase decoding process of the blade, the research on the three-dimensional reconstruction technology of the blade based on surface structured light was carried out by selecting the structure light of gray code coding strategy with high projection decoding accuracy and avoiding coating developer and pasting calibration points on the surface of the blade. By selecting reasonable experimental equipment and designing mechanical structure, a three-dimensional visual inspection experimental system based on surface structured light is constructed. And the calibration method and reconstruction algorithm of the three-dimensional visual inspection experimental system are studied theoretically. The three-dimensional reconstruction experiment of a certain position of the blade is completed by using the three-dimensional visual inspection experimental system, and the discrete point cloud data of the blade is obtained. The experimental results further demonstrate the feasibility of the designed system, and lay a good foundation for the subsequent research of three-dimensional blade measurement system.
Keywords: triangulation method;projector calibration;blade;reconstruction experiment
2019, 45(2):134-138 收稿日期: 2018-01-23;收到修改稿日期: 2018-05-11
基金项目: 四川省科技支撑计划项目（2016GZ0001，2016GZ0189）；中央高校基本科研业务费专项资金资助（2012017yjsy164）
作者简介: 陆红红(1988-),女,河南濮阳市人,硕士,专业方向为叶片检测
参考文献
[1] 张琼元, 杨功显, 赵代银. 大尺寸重型燃机叶片三坐标测量方法[J]. 东方汽轮机, 2016(3):46-49
[2] 达飞鹏, 盖绍彦. 光栅投影三维精密测量[M]. 北京:科学出版社, 2011:79-146.
[3] 刘永超. 发动机叶片型面测足的光栅投影法研究[D]. 北京:北京邮电大学, 2013.
[4] 李华伟, 申作春, 覃银红, 等. 相位测量轮廓术应用于叶片测量[J]. 航空动力学报, 2012, 27(2):275-281
[5] 吴志新, 韩巍, 黄伟. 非接触式白光测量机在叶片检测中的研究与应用[J]. 航空制造技术, 2014(13):48-51
[6] GUPTA M, AGRAWAL A, VEERARAGHAVAN A, et al. Structured light 3D scanning in the presence of global illumination[C]//IEEE Conference on Computer Vision & Pattern Recognition,2011.
[7] 陈俊宇, 殷鸣, 殷国富, 等. 燃机叶片型面的三维光学扫描检测方法研究[J]. 中国测试, 2015, 41(11):7-11
[8] LANMAN D, TAUBIN G. Build Your Own 3D Scanner:3D Photography for Beginners[C]//ACM,2009.
[9] 李正生, 马文彦, 闰杰. 格雷码的反码、补码与带符号格雷码的补码[J]. 微电子学与计算机, 2013, 30(5):129-130
[10] GUPTA M, AGRAWAL A, VEERARAGHAVAN A, et al. Structured light 3D scanning in the presence of global illumination[C]//IEEE Conference on Computer Vision & Pattern Recognition,2011.
[11] 潘贝. 基于黑白编码结构光的快速三维重建方法研究[D].杭州:浙江工业大学, 2011.
[12] ZHANG Z Y. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334
[13] 徐鸣华, 施天敏, 王颖, 等. 结构光测量系统的投影仪标定方法研究[J]. 测控技术, 2016, 35(1):127-130
[14] CHANG W C, WU C H. Plane-based geometric calibration of a projector-camera reconstruction system[C]//201410th France-Japan/8th Europe-Asia Congress on Mecatronics (MECATRONICS2014-Tokyo), 2014.
[15] 张东. 基于面结构光的物体表面三维重建方法研究与实现[D]. 武汉:华中科技大学,2011.
