广东工业大学学报 ›› 2014, Vol. 31 ›› Issue (1): 74-78.doi: 10.3969/j.issn.1007-7162.2014.01.015

• 综合研究 • 上一篇    下一篇

线结构光三维视觉测量中光条纹中心提取综述

杨建华,杨雪荣,成思源,雷志盛,骆少明,张湘伟   

  1. 广东工业大学 机电工程学院,广东 广州 510006
  • 收稿日期:2013-03-01 出版日期:2014-03-29 发布日期:2014-03-29
  • 作者简介:杨建华(1985-),男,硕士研究生,主要研究方向为逆向设计与工程应用、机器视觉与三维测量.
  • 基金资助:

    国家自然科学基金资助项目(51105078);广东省教育部产学研结合项目(2012B091100190);东莞市高等院校科研机构科技计划项目(201010810205);广州市科技计划项目(2013J4300019)

Review of Extracting the Centers of Linear Structured Light Stripes for 3D Visual Measurements

Yang Jian-hua,Yang Xue-rong,Cheng Si-yuan,Lei Zhi-sheng,Luo Shao-ming,Zhang Xiang-wei   

  1. School of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510006,China
  • Received:2013-03-01 Online:2014-03-29 Published:2014-03-29

摘要: 光条纹中心提取是线结构光三维视觉测量中的关键技术.把影响光条纹中心提取精度的主要因素归纳为工作环境、激光平面、被测物体和图像采集系统,并对其进行了对比分析.根据提取算法的理论基础、对图像信息的利用及计算思路特点的差异,将其分为几何中心方法和能量中心方法两大类.针对每类方法的计算思路、优缺点、改进方法、适用工况等在细分类方法中进行了对比分析和归纳总结.最后结合两大类方法的发展特点,提出了光条纹中心提取方法的进一步发展方向.

关键词: 三维视觉测量;线结构光;光条纹;中心提取

Abstract: Extracting the center of a light stripe is one of the key techniques of the linear structured light for threedimensional (3D) visual measurement. According to the influence of the accuracy in extracting the light stripe centers, the four key factors, which are the work environment, laser planes, measured objects and image acquisition systems, are summed up and analyzed. On the basis of the differences between the use of the image information and the characteristics of the calculated algorithms in the extraction methods, a new idea is proposed that they are classified into two different methods, which are the geometrical center method and the energy center method. Based on the differences between the two methods in algorithm thoughts, merits and demerits, ways of improvement, applicable conditions, they are subclassified, compared, analyzed and summarized. At last, with the developing features of the two methods combined, it proposes the development trend of the light stripe extraction method.

Key words: 3D visual measurement; linear structured light; light stripe; extracting the center

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