一种新的深度传感器内部参数标定方法研究
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(同济大学 测绘与地信息学院,上海 200092)

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叶勤(1970-),女,江苏无锡人,工学博士 ,副教授,主要从事数字摄影测量,遥感图像处理方面的研究.

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上海市自然科学基金(13ZR1444300)资助项目 (同济大学 测绘与地信息学院,上海 200092)


A new calibration method for depth sensor
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(College of Survey,Mapping and Geo-information,Tongji University,Shanghai 200092,China)

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    摘要:

    针对双镜头深度传感器(以Kinect为例)出厂标 定参数精度不高的问题,提出一种新的标定方法。 对于Kinect 2.0深度镜头,利用空间线定长约束,通过间接平差方法求解待求参数;根据求 解参数,将深度图 像坐标转转换值Kinect坐标并将其与对应的彩色影像坐标点进行关联,基于中心投影方程标 定彩色镜头。实 验结果表明,本方法将深度影像点转换到Kinect坐标时精度优于2.5 mm,深度影像坐标转换至彩色影像坐标 时精度优于1pixel,高于Kinect微软开发包内置参数的计算精度,对一些需要较高参 数精度的应用,本文算法解算的参数更优。

    Abstract:

    Depth sensor is a good choice for the same application,such as mobil robo t navigation.It also should be calibrated before using.In order to enhance accuracy of fac tory intrinsic parameters,we attempt to present a new calibration method for depth sensor,for example Kinect 2.0which consists of two cameras an RGB camera and a depth camera).For Kinect 2.0,we should calibrate its RGB camera and depth camera separately.In our method,the intrinsic parameters of depth camera will be used in RGB camera calibration,so we will calibrate the depth camera firstly.For depth camera,we as sume a fixed-length line in its view, and we regard the distance between two line endpoints which own the same value as the constraint condition,and solve the intrinsic parameters of the depth camera with indirect adjustment.Tran sform depth image points to 3D space points (Kinect coordinate system) with intrinsic parameters and associate them with RGB image points,and then calibrate RGB camera based on central projection equation.Exper imental results show that when depth image points are transformed to 3D space po ints,the precision of the lines is a bout 2.5mm,while when depth image points are transformed to RGB image points,th e precision of points is about 1pixel ,which is better than that of Microsoft Kinect SDK.If you want to get high-prec ision Kinect intrinsic parameters in the same applications,our method may be a g ood choice.

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叶勤,桂坡坡.一种新的深度传感器内部参数标定方法研究[J].光电子激光,2015,26(6):1146~1151

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  • 收稿日期:2015-02-03
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  • 在线发布日期: 2015-07-08
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