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共轴立体视觉深度测量
引用本文:熊斓晖,王元庆.共轴立体视觉深度测量[J].现代电子技术,2012,35(6):115-118,122.
作者姓名:熊斓晖  王元庆
作者单位:南京大学电子科学与工程学院,江苏南京,210093
基金项目:国家质检公益性行业科研专项经费资助项目(编号201110233);国家自然科学基金重点资助项目(608320036)
摘    要:共轴立体视觉测距是一种深度恢复的新方法,利用光轴处于同一直线的两架相机,从单一角度获取图像信息,将三维空间的深度信息转换成二维空间的缩放视差,从而通过图像旋转与缩放、特征点提取、图像匹配、中心点估计等技术恢复深度信息。该技术具有测量系统体积小、实时性强等特点。介绍了该技术的深度恢复公式和算法,并设计了共轴立体摄影测距传感器,用实景实验和3DSMAX模拟实验对该技术进行了验证。试验结果表明,中长距离深度测量精度优于0.1%。

关 键 词:立体视觉  共轴成像  机器视觉  图像处理  深度测量

Depth measurement by co-axial stereo vision
XIONG Lan-hui , WANG Yuan-qing.Depth measurement by co-axial stereo vision[J].Modern Electronic Technique,2012,35(6):115-118,122.
Authors:XIONG Lan-hui  WANG Yuan-qing
Affiliation:(School of Electronic Science and Engineering,Nanjing University,Nanjing 210093,China)
Abstract:Depth measurement based on co-axial stereo vision is a new method of depth recovery.It may respectively produce images by the two co-axial cameras.The image information is obtained from a single view point.The depth information of the 3-D space is converted into the Zoom parallax of 2-D space.Thereby,The depth information is recovered with the technologies of image rotating/scaling,characteristic point acquisition,image matching and central point estimation,etc.The system with the technologies has the characteristics of small volume and high real-time performance,and is based on imaging model of monocular stereo vision for machine.The principles of co-axial stereo vision are described.The depth recovery formula and algorithm of the system is introduced.The experimental result indicates that relative error is less than 0.1%,covariance for the actual range is 100 m and computational average depth is 99.959 m.
Keywords:stereo vision  co-axial imaging  machine vision  image processing  depth measurement
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