用井字结构光对规则部件进行三维测量

doi:10.3969/j.issn.0255-8297.2017.01.012

Journal of Applied Sciences ›› 2017, Vol. 35 ›› Issue (1): 107-116.doi: 10.3969/j.issn.0255-8297.2017.01.012

• Signal and Information Processing • Previous Articles Next Articles

3D Measurement of Regular Components Base on Structured Light with an Intersecting-Parallels Shape

CAI Chen, PAN Bin, LIU Zhen-ning

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Received:2015-09-30 Revised:2016-04-09 Online:2017-01-30 Published:2017-01-30

Abstract

Abstract:

This paper proposes a method using structured light with an intersectingparallels shape to carry out three-dimensional (3D) vision measurement for regular components.This structured light is projected onto a calibration plate.Images are acquired and processed to calibrate the measurement system.The light is then projected on the component and images are captured and processed in order to extract the centers of the light strips.Combined with the calibration and light strip data, 3D coordinates of the object are calculated precisely.Experimental results show that the measure mentrange is between 700 mm and 1 000 mm, with errors less than 0.5 mm.

Key words: computer vision, 3D measurement, structured light, cross ratio invariability

CLC Number:

TP273

CAI Chen, PAN Bin, LIU Zhen-ning. 3D Measurement of Regular Components Base on Structured Light with an Intersecting-Parallels Shape[J]. Journal of Applied Sciences, 2017, 35(1): 107-116.

References

[1] 席斌,钱峰. 机器视觉测量系统在工业在线检测中的应用[J]. 工业控制计算机, 2005, 18(11):75-76. Xi B, Qian F. Application of machine vision measurement system in industry on line detec tion[J]. Industrial Control Computer, 2005, 18(11):75-76. (in Chinese)
[2] 章炜. 机器视觉技术发展及其工业应用[J]. 红外,2006, 27(2):11-16. Zhang W. Development of machine vision and its industrial applications[J]. Infrared, 2006, 27(2):11-16. (in Chinese)
[3] 周伦彬. 逆向非接触测量技术浅析[J]. 中国测试技术,2005, 31(5):264-268. Zhou L B. Analysis of converse non-contact measurement technology[J]. China Measurement Technology, 2005, 31(5):264-268. (in Chinese)
[4] Zhang G, Sun Z, Wei Z. A novel calibration approach to structured light 3-D vision in spection[J]. Optics and Laser Technology. 2004, 34(5):373-380.
[5] 周富强,张广军,江洁. 线结构光视觉传感器的现场标定方法[J]. 机械工程学报,2004, 40(6):169-173. Zhou F Q, Zhang G J, Jiang J. Field calibration method for line structured light vision sensor[J]. Chinese Journal of Mechanical Engineering, 2004, 40(6):169-173. (in Chinese)
[6] 周富强,张广军. 标定十字结构光传感器的新方法[J]. 光电工程,2006, 33(11):52-56. Zhou F Q, Zhang G J. New method for calibrating cross structured-light sensor[J]. Opto Electronic Engineering, 2006, 33(11):52-56. (in Chinese)
[7] Huynh D Q. Calibration a structured light stripe system:a novel approach[J]. International Journal of Computer Vision, 1999, 33(1):73-86.
[8] 苏杭. 基于圆形网格点的全自动相机标定法研究[D]. 武汉:武汉理工大学,2009.
[9] Jiang G, Quan L. Detection of concentric circles for camera calibration[C]//Procession of the 10th IEEE International Conference on Computer Vision, 2005:333-340.
[10] 魏振忠,张广军. 视觉检测中椭圆中心成像畸变误差模型研究[J]. 北京航空航天大学学报,2003, 29(2):140-143. Wei Z Z, Zhang G J. Distortion error model of image of ellipse center in 3D visual inspec tion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(2):140-143. (in Chinese)
[11] Zhang Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334.

3D Measurement of Regular Components Base on Structured Light with an Intersecting-Parallels Shape

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	LIU Song, XIONG Bangshu. Automatic Orientation Method for Rail Weld Based on Computer Vision [J]. Journal of Applied Sciences, 2019, 37(6): 844-850.
[2]	WANG Jian-hua, YANG yan-xi. High-Speed Dynamic Three-Dimensional Shape Measurement [J]. Journal of Applied Sciences, 2018, 36(6): 936-949.
[3]	SUN Xianbin;LI Dehua;YIN Jie;XIONG Caiquan . Camera Calibration in Computer Vision Based on Artificial Neural Network [J]. Journal of Applied Sciences, 2007, 25(5): 486-486 .