足型扫描仪内应用非线性映射方法的相机自动标定

陈硕; 张慧萌; 楚圣辉; 孟浩; 刘国忠

doi:10.3788/OPE.20162413.0607

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足型扫描仪内应用非线性映射方法的相机自动标定

更新时间：2020-08-13

- 足型扫描仪内应用非线性映射方法的相机自动标定
- Application of the nonlinear mapping method in the foot scanner's automatic camera calibration
- 光学精密工程 2016年24卷第10s期页码：607-612
- 作者机构：
  
  北京信息科技大学仪器科学与光电工程学院北京,100192
- 作者简介：
- 基金信息：
  
  国家自然科学基金专项项目（No.61240057）()
- DOI：10.3788/OPE.20162413.0607
  中图分类号： TP391
- 收稿日期：2016-05-29，
  
  修回日期：2016-06-12，
  
  纸质出版日期：2016-11-14
- 稿件说明：
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陈硕, 张慧萌, 楚圣辉等. 足型扫描仪内应用非线性映射方法的相机自动标定[J]. 光学精密工程, 2016,24(10s): 607-612

CHEN Shuo, ZHANG Hui-meng, CHU Sheng-hui etc. Application of the nonlinear mapping method in the foot scanner's automatic camera calibration[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 607-612
陈硕, 张慧萌, 楚圣辉等. 足型扫描仪内应用非线性映射方法的相机自动标定[J]. 光学精密工程, 2016,24(10s): 607-612 DOI： 10.3788/OPE.20162413.0607.

CHEN Shuo, ZHANG Hui-meng, CHU Sheng-hui etc. Application of the nonlinear mapping method in the foot scanner's automatic camera calibration[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 607-612 DOI： 10.3788/OPE.20162413.0607.

摘要

为解决三维足型测量系统中相机标定步骤繁琐的问题，提出了一种基于该系统的简便稳定的标定方式。基于三维足型测量系统的系统构成与工作原理设计了基于标定块的相机标定方法，并在过程中对传统标定块进行了改良。采用自动检测角点技术，利用Harris检测算法与模板角点匹配算法进行检测，无需人工干预。利用图像几何校正技术提高了系统的提取精度。标定时将标定块置于光平面，左右两个相机各取一幅图像，过程简单，标定速度快。最终将像平面与光平面进行坐标映射得到两组非线性方程，解出两幅图像的映射关系。实验结果显示，该方法的标定误差基本保持在0~1.2 mm，平均误差为0.44 mm。通过最终的足部三维重建图形可以看出，足部形貌得到了良好的还原。

Abstract

To solve the problem of cumbersome steps of camera calibration in the three-dimensional(3D) foot type in measurement system

this artical proposes a calibration method based on Double-camera system. On the basis of the structure and working principle of 3-dimensional foot type measuring system

it designs the camera calibration method based on the calibration target

and improves the traditional calibration target in the process. The automatic corner detection technology and Harris corner detection algorithm and template matching algorithm are adopted for testing

without manual intervention. The image geometric correction technique is used to realize more accurate extraction in the process. At the beginning of the calibration

the calibration block are put on the light plane and a picture is captured by each camera. It is convenient and quick. Finally

two nonlinear equations are got through coordinate mapping from the image plane to light plane

then the mapping relationship between images can be solved by using above equations. The experimental results show that calibration error basically maintained in 0~1.2 mm

and the average error is 0.44 mm. Through the foot 3 D reconstruction graphics

it can be seen that foot shape gets good reconstruction.

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Keywords

references

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