计算机工程 ›› 2018, Vol. 44 ›› Issue (7): 244-249,258.doi: 10.19678/j.issn.1000-3428.0047226

• 图形图像处理 • 上一篇    下一篇

基于双目立体视觉的结构光测量技术

周麒 1,2,杨永明 1,2,王振洲 1,2   

  1. 1.中国科学院沈阳自动化研究所,沈阳 110000; 2.中国科学院大学,北京 100049
  • 收稿日期:2017-05-16 出版日期:2018-07-15 发布日期:2018-07-15
  • 作者简介:周麒(1993—),男,硕士研究生,主研方向为图像处理、计算机视觉;杨永明,硕士;王振洲(通信作者),研究员、博士生导师。
  • 基金项目:

    中国科学院“百人计划”项目(Y5A1270101)。

Structured Light Measurement Technique Based on Binocular Stereo Vision

ZHOU Qi  1,2,YANG Yongming  1,2,WANG Zhenzhou  1,2   

  1. 1.Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110000,China; 2.University of Chinese Academy of Sciences,Beijing 100049, China
  • Received:2017-05-16 Online:2018-07-15 Published:2018-07-15

摘要:

目前的三维测量系统多数利用投影矩阵法求解出三维点坐标,但该方法未充分利用标定的参数,且矩阵之间计算复杂。为此,提出一种基于解析解的双目成像系统。该系统通过左右相机光线相交计算物体的三维坐标解析解,光线由相机的光心和成像平面上点的物理坐标计算得到。运用Steger算法提取条纹中心图像,并给出一种新的匹配点方法来匹配提取的条纹。实验结果表明,该系统通过48个标定点计算的误差为0.149 0 mm,从而验证了其有效性。

关键词: 三维重建, 双目立体视觉, 解析解, 匹配算法, 成像系统

Abstract:

Most of the current three-dimensional measurement systems uses projection matrix method to solve the three-dimensional point coordinates,butthis method does,not make full uses of the calibration parameters,and the caleultion between the matrix is complex.Therefore,a binocular imaging system based on analytic solution is proposed.The system calculates the analytic solutions of the object’s three-dimensional coordinates by intersecting the left and right camera lights.The light is calculated from the camera’s optical center and the physical coordinates of the points on the imaging plane.The Steger algorithm is used to extract the center of the stripe,and a new matching point method is proposed to match the extracted stripe.Experimental results show that the error of the system calculated by 48 calibration points is 0.149 0 mm,which verifies the effectiveness of the proposed system.

Key words: three-dimensional reconstruction, binocular stereo vision, analytic solutions, matching algorithm, imaging system

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