复杂环境下线结构光曲面检测方法

黄雪梅; 刘志伟; 赵吉宾

doi:10.3788/OPE.20162413.0682

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复杂环境下线结构光曲面检测方法

更新时间：2020-08-13

- 复杂环境下线结构光曲面检测方法
- Surface detection method with line structured light in complex environment
- 光学精密工程 2016年24卷第10s期页码：682-689
- 作者机构：
  
  1. 中国科学院沈阳自动化研究所,辽宁沈阳,110016
  2. 山东理工大学机械工程学院,山东淄博,255091
  3. 中车青岛四方机车车辆股份有限公司,山东青岛,266111
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（No.51375476）();山东省自然科学基金（No.ZR2012EEL11）资助项目()
- DOI：10.3788/OPE.20162413.0682
  中图分类号： TP394.1;TH691.9
- 收稿日期：2016-05-09，
  
  修回日期：2016-06-05，
  
  纸质出版日期：2016-11-14
- 稿件说明：
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黄雪梅, 刘志伟, 赵吉宾. 复杂环境下线结构光曲面检测方法[J]. 光学精密工程, 2016,24(10s): 682-689

HUANG Xue-mei, LIU Zhi-wei, ZHAO Ji-bin. Surface detection method with line structured light in complex environment[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 682-689
黄雪梅, 刘志伟, 赵吉宾. 复杂环境下线结构光曲面检测方法[J]. 光学精密工程, 2016,24(10s): 682-689 DOI： 10.3788/OPE.20162413.0682.

HUANG Xue-mei, LIU Zhi-wei, ZHAO Ji-bin. Surface detection method with line structured light in complex environment[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 682-689 DOI： 10.3788/OPE.20162413.0682.

摘要

针对复杂环境下高精度三维检测的需求，从提高视觉传感器系统标定精度出发，提出了一种线结构光曲面检测方法。首先利用精度较高的圆形靶标并采用柔性立体靶标的模式对相机进行标定，在获取光平面和靶标相交的所有点坐标后，通过非线性优化计算出光平面到像平面之间的映射矩阵，完成线结构光传感器系统的标定；然后借助于真彩图像中红色分量所占比重和灰度重心法提取光条纹；最后按照局部最小化准则，对检测到的光条进行光顺连接。在每次迭代中改变当前点并将其作为空间点集使用，得到光条纹中心点的最终位置。实验结果表明本文方法具有较高的标定精度，相机重投影误差均值为0.102 pixel，测量结果的平均距离误差为0.0132 mm，并且可得到精确的光条纹，为复杂环境下曲面的检测提供了一种有效的手段。

Abstract

Specific to the requirements of high precision 3D measurement in complex environment

starting from improving the calibration accuracy of vision sensor system

a kind of surface detection method with line structured light was put forward. Firstly

round target with high accuracy and flexible 3D target mode were used for calibrating the camera; after obtaining all intersection points coordinates of optical plane and target

mapping matrix from the light plane to the image plane was catculated through nonlinear optimization; then the calibration of line structured light sensor system was completed; light stripe was taken with the aid of proportion of red component in true color image and gray centroid method; lastly

according to local minimization criterion

fairing connection for detected light stripe was carried out. In each iteration

change the current point as spatial point set and the final position for center point of light stripe was obtained. Experimental results show that this method has relatively high calibration accuracy; mean error of camera reprojection is 0.102 pixel; mean longitudinal error of measurement result is 0.0132 mm; precise light stripe can be obtained so as to provide an effective method for surface detection in complex environment.

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references

高岩, 邵双运, 冯其波. 一种激光扫描自动测量轮对几何参数的方法[J].中国激光,2013,40(7):0708005. GAO Y, SHAO SH Y, FENG Q B. A novel method for automatically measuring wheel geometric parameters by laser scanning[J]. Chinese J Lasers, 2013, 40(7):0708005. (in Chinese)

汪霖, 曹建福, 韩崇昭. 基于超二次曲面模型的3维目标定位算法[J]. 机器人, 2013,35(4):439-448. WANG L, CAO J F, HAN CH ZH. Super quadrics Model-based 3D object localization algorithm[J]. Robot, 2013,35(4):439-448. (in Chinese)

邹媛媛,赵明扬,张雷. 基于量块的线结构光视觉传感器直接标定方法[J]. 中国激光, 2014,41(11):1108002. (in Chinese) ZOU Y Y, ZHAO M Y, ZHANG L. Vision inspection technology of IC die bonder Direct calibration method of laser stripe vision sensor based on gauge block[J]. Chinese J Lasers, 2014,41(11):1108002.

HUYNH D Q. Calibration a structured light stripe system:a novel approach[J]. International Journal of Computer Vision, 1999,33(1):73-86.

ZHOU F, ZHANG G. Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations[J]. Image and Vision Computing, 2005,23(1):59-67.

SUNQ, HOU Y, TAN Q, et al.. A flexible calibration method using the planar target with a square pattern for line structured light vision system[J]. PLoS ONE, 2014, 9(9):106911.

谢则晓, 高翔, 崔健. 移动式三维测量用圆形标记点提取算法[J]. 中国激光, 2013,40(12):1208002. XIE Z X, GAO X, CUI J. Extraction algorithm of circular targets used for mobile three-dimensional measurement[J]. Chinese J Lasers, 2013,40(12):1208002. (in Chinese)

KOKKU R, BKSBYROO G. Improving 3D surface measurement accuracy on metallic surfaces[C]. International Society for Optics and Photonics, 2005:618-624.

薛婷,吴斌,张涛,等. 基于线结构光视觉传感器的圆孔定位误差分析[J]. 光学精密工程,2008,16(4):624-629. XUE T, WU B, ZHANG T et al..Analysis on round-hole orientation error based on structured light stripe vision sensor[J]. Opt. Precision Eng., 2008,16(4):624-629. (in Chinese)

许丽, 张之江. 基于共面靶标的结构光标定方法[J]. 光电子·激光,2009,20(8):1063-1069. XU L, ZHANG ZH J. Calibration in structured light system using coplanar target[J]. Journal of Optoelectronics·Laser, 2009, 20(8):1063-1069. (in Chinese)

岳武陵,吴勇. 基于多目标优化的空间直线度误差评定[J]. 光学精密工程,2008,16(8):1423-1428. YUE W L, WU Y.Evaluation of spatial straightness errors based on multi target optimization[J]. Opt. Precision Eng., 2008,16(8):624-629. (in Chinese)

LEVI Z, ZORIN D. Strict minimizers for geometric optimization[J]. ACM Transactions on Graphics, 2014, 33(6):185-196.

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