一种基于全向结构光的深度测量方法

贾同; 吴成东; 陈东岳; 王炳楠; 高海红; 房卓群

doi:10.16383/j.aas.2015.c140857

一种基于全向结构光的深度测量方法

doi: 10.16383/j.aas.2015.c140857

1.
东北大学信息科学与工程学院沈阳 110819

基金项目:

国家自然科学基金(61273078),教育部博士点基金(20110042120030),中央高校基础科研业务费(130404012)资助

详细信息

作者简介:
吴成东博士,东北大学信息科学与工程学院教授.主要研究方向为图像处理,无线传感器网络,建筑智能化技术,机器人控制.E-mail:wuchengdong@ise.neu.edu.cn

陈东岳博士,东北大学信息科学与工程学院副教授.主要研究方向为图像处理,计算机视觉,模式识别.E-mail:chendongyue@ise.neu.edu.cn

王炳楠沈阳建筑大学硕士研究生.主要研究方向为图像处理与计算机视觉.E-mail:wangbingnan@163.com

高海红东北大学硕士研究生.主要研究方向为图像处理与计算机视觉.E-mail:dzgaohaihong@163.com

房卓群东北大学博士研究生.主要研究方向为图像处理与计算机视觉.E-mail:fangzhuoqun@163.com

通讯作者:
贾同博士,东北大学信息科学与工程学院副教授.主要研究方向为图像处理,计算机视觉,模式识别.本文通信作者.E-mail:jiatong@ise.neu.edu.cn

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出版历程
- 收稿日期: 2014-12-09
- 修回日期: 2015-05-28
- 刊出日期: 2015-09-20

A Depth Measurement Method by Omni Directional Image and Structured Light

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819

Funds:

Supported by National Natural Science Foundation of China (61273078), Doctoral Foundation of Ministry of Education of China (20110042120030), and Fundamental Research Funds for the Central Universities of China (130404012)

摘要

摘要: 深度测量是立体视觉研究的重要问题, 本文提出一种基于全向图与结构光的深度测量方法.首先,根据测量系统特点,采用了基于多参考面的投影仪标定算法;然后,设计了一组 "四方位沙漏状"编码结构光,实现待测图像与参考图像的对应点计算;最后,在移动条件下,研究基于先验约束迭代就近点(Iterative closest point, ICP)的深度点云匹配算法. 实验结果表明,本文方法可以准确地对室内场景进行深度测量,且抗干扰能力较强.
- 深度测量 /
- 全向图 /
- 结构光 /
- 立体视觉
Abstract: Depth measurement is an important problem in stereovision. A depth measurement method based on omnidirectional image and structured light is proposed. Firstly, according to the measurement system characteristics, main research attentions are paid to the study of projector calibration algorithm based on multiple reference planes. Secondly, a group of "four direction sand clock-like" encoding structured light is designed. It can be used to compute the corresponding points between the measured image and reference image. Thirdly, under a mobile condition, a depth point-cloud matching algorithm based on prior-constraint iterative closest point (ICP) is studied. Experimental results demonstrate that the proposed method can acquire omnidirectional depth information of large-scale scenes accurately, and has high anti-interference abilility.
- Depth measurement /
- omnidirectional image /
- structured light /
- stereovision

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