Multi-Camera Measurement System Based on Multi-Constraint Fusion Algorithm

ZHANG Lai-gang; WEO Zhong-hui; HE Xin; SUN Qun

doi:10.3788/YJYXS20132804.0608

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Multi-Camera Measurement System Based on Multi-Constraint Fusion Algorithm

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Multi-Camera Measurement System Based on Multi-Constraint Fusion Algorithm
- Chinese Journal of Liquid Crystals and Displays Vol. 28, Issue 4, Pages: 608-614(2013)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
  3. 聊城大学机械与汽车工程学院,山东聊城,252059
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20132804.0608
  CLC：
- Received：25 January 2013，
  
  Revised：24 June 2013，
  
  Published：15 August 2013
- 稿件说明：
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张来刚, 魏仲慧, 何昕, 孙群. 多约束融合算法在多摄像机测量系统中的应用[J]. 液晶与显示, 2013,28(4): 608-614

ZHANG Lai-gang, WEO Zhong-hui, HE Xin, SUN Qun. Multi-Camera Measurement System Based on Multi-Constraint Fusion Algorithm[J]. , 2013,28(4): 608-614
张来刚, 魏仲慧, 何昕, 孙群. 多约束融合算法在多摄像机测量系统中的应用[J]. 液晶与显示, 2013,28(4): 608-614 DOI： 10.3788/YJYXS20132804.0608.

ZHANG Lai-gang, WEO Zhong-hui, HE Xin, SUN Qun. Multi-Camera Measurement System Based on Multi-Constraint Fusion Algorithm[J]. , 2013,28(4): 608-614 DOI： 10.3788/YJYXS20132804.0608.

摘要

为了提高大视场三维测量精度

克服传统束调整算法对大视场图像校正不理想(控制点集中在视场中心)的缺点

提出了基于多约束融合算法的多摄像机三维测量方法

其基本思想为:将空间控制点的三维坐标与其对应像素点坐标之间的共线方程作为约束条件

利用已知的距离、三点共线和四点共面等信息

建立测量视场中控制点与像点坐标间的约束关系

从而完成三维坐标测量

同时实现了系统参数的在线标定。实验中

通过RMS误差和测距相对精度对测量精度进行了定量分析

测距相对精度达到了1:7 000~1:15 000

相对传统的束调整算法

该算法测量精度提高了一个数量级

是一种可靠的高精度视觉测量方法。

Abstract

In order to improve three-dimensional measurement accuracy in the large field and to overcome the shortcomings of the traditional bundle adjustment algorithm for image correction being not ideal for large field of view (the control points concentrated in the center of the view)

this paper presented a multi-camera 3D measurement methods based on multi-constraint fusion algorithm. The basic idea is collinear equation of three-dimensional space coordinates of the control points and corresponding pixel coordinates is looked as constraints

using the known distance constraint

three-point collinear

four-point coplanar to establish the restriction between coordinates of the control points and pixel points

thus completing the three-dimensional coordinate measurement

at the same time

achieving the online calibration of the system parameters. In the experiment

the RMS error and relative accuracy of distance are used to analyses the measurement accuracy

the relative accuracy of distance reaches to 1:7 000~1:15 000

compared to the traditional bundle adjustment algorithm

the measurement accuracy of this algorithm is improved an order of magnitude

it is a reliable high-precision vision measurement method.

关键词

Keywords

references

Lv N G, Deng W Y, Wang Y Q. Profile measurement of microwave antenna using close range photogrammetry[C]// Proceedings of SPIE, Washington: SPIE-The International Society for Optical Engineering, 2005,5852:508-515.[2] Frank Chen, Gordon M. Brown, Mumin Song. Over-view of three-dimensional shape measurement using optical methods [J]. Optical Engineering, January, 2000,39 (1): 10-21.[3] Clive Fraser. Automated vision metrology: A mature technology for industrial inspection and engineering surveys[C]// 6th South East Asian Surveyors Congress, Fremantle,Western Australia, SEASC,1999:1-6.[4] Hung Y Y, Lin L, Park B G. Practical 3D computer vision techniques for full-field surface measurement[J].Optical Engineering,2000,39(1):143-149.[5] Sangsoni G, CarocciI M, RodellaA R. Calibration and performance evaluation of a 3D imaging sensor based on the projection of structured light[J].IEEE Transactions on Instrumentation and Measurement,2000,49(3):628-636.[6] 刘建伟,梁晋,梁新合,等. 大尺寸工业视觉测量系统[J]. 光学精密工程, 2010,18(1):126-133.[7] 王永强,吕天剑,吕乃光. 距离约束算法在微波天线面形测量中的应用 [J]. 电子测量与仪器学报, 2007,21(1):57-60[8] 陈刚,姚英学.多视点大空间三维坐标数据归一化方法[J]. 光学精密工程, 2008,16(7):1309-1314.[9] 李喆,丁振良,袁峰. 基于共面点的多视觉测量系统的全局标定[J]. 光学精密工程, 2008,16(3):467-471.[10] 张浩, 李大海, 王琼华,等.自由立体显示拍摄系统中摄像机空间自由度的确定[J]. 液晶与显示, 2010,25(2):287-291.[11] 叶东,徐巧玉,车仁生. 视觉测量系统的相机校准[J]. 光学精密工程, 2006,14(5):883-889.

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