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摄象机标定
相关语句
  camera calibration
     A CCD camera calibration method based on MATLAB
     一种基于MATLAB的摄象机标定方法的实现
短句来源
     1. Camera calibration and 3-Dimensional coordinates' calculation.
     1.摄象机标定以及空间点三维坐标计算。
短句来源
     The camera calibration and the obtaining method of the sensor structure parameters are presented in the paper.
     介绍了摄象机标定及传感器结构参数获取的方法。
短句来源
     The unknown but bounded measurement errors in camera calibration are considered, and the problem of camera calibration is solved with set membership estimation approach.
     指出摄象机标定问题中存在的观测误差适于用未知但有界误差 (U BBE)模型描述 ,标定问题可用集内不确定 (SMU )估计方法解决。
短句来源
  “摄象机标定”译为未确定词的双语例句
     GEOMETRIC INVARIANTS BASED CAMERA CALIBRATION
     基于空间透视不变量的摄象机标定方法
短句来源
     A New Method of Auto──Calibration for Stereo Vision System
     立体视觉系统摄象机标定自动化
短句来源
     This method of auto-calibration based on passive vision, and its auto- calibration control is presented firstly. This method based on traditional method is used to obtain 3D coordinate of laser speckle with laser detection, to obtain 2D image coordinate with optimal inquiry algorithm, to resolute in projected matrix with linear least square method.
     讨论了基于被动视觉的摄象机标定方法,并完全实现了自动控制.该方法在传统标定方法基础上,以激光探测手段获取场景点(激光斑点)的三维坐标(3D); 以三步优化查询算法得到该场景点图象坐标( 2D);
短句来源
  相似匹配句对
     Intrinsic Parameter Calibration of a Camera
     摄象机内征参数的标定
短句来源
     A New Method of Auto──Calibration for Stereo Vision System
     立体视觉系统摄象机标定自动化
短句来源
     Solid Camera
     固体摄象机
短句来源
     4, the mark.
     4、标定;
短句来源
     The Sound Velocity Meter Calibration System
     声速仪标定系统
短句来源
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  camera calibration
Then camera calibration is done using the line correspondences between the 3D model and the image.
      
The measure can also simplify the camera calibration for determining the size of non-square pixel.
      
The main steps include camera calibration, the matching of motion and stereo images, 3D feature point correspondences and resolving the motion parameters.
      
In this paper, the symmetry of images of profiles of revolution has been extensively exploited and a practical and accurate technique of camera calibration from profiles alone has been developed.
      
Effects of camera calibration errors on static-eye and hand-eye visual servoing
      
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  camera-calibration
An image-processing-based automated grid method is investigated to determine the method's displacement and strain accuracy limits, and how these limits are influenced by the choice of camera-calibration models.
      
Camera-calibration models which are considered include various combinations of image-perspective transformation, image stretching, and elliptical-lens distortion.
      
Section 3 outlines the camera-calibration process, including the models for all known sources of error caused by the camera.
      


The relation between the camera placing attitude and the effective viewing field of the binocular sensor is analyzed.Differing from the past simple analyzing method,the paper comprehensively analyses the effects of the different structures on the sensor accuracy under various cases.The camera calibration and the obtaining method of the sensor structure parameters are presented in the paper.The experimental data show that the above analysis is right and measuring results are satisfied.

综合分析了摄象机摆放姿态与双目传感器有效视场的关系。同以往简单分析方法不同,文中全面分析了各种情况下不同结构参数对传感器精度的影响。介绍了摄象机标定及传感器结构参数获取的方法。实验数据表明,上述分析正确,测量结果令人满意

A new approach to camera calibration based on geometric invariants is proposed. Geometric invariants are shape descriptors that remain unchanged under geometric transformations such as projection or viewpoint change. They are widely used in computer vision because they can charaterize a object which is independent of external factors. Camera calibration is the problem of determining the relationship between the 2D image a camera perceives and the 3D information of the imaged object, including the extrinsic...

A new approach to camera calibration based on geometric invariants is proposed. Geometric invariants are shape descriptors that remain unchanged under geometric transformations such as projection or viewpoint change. They are widely used in computer vision because they can charaterize a object which is independent of external factors. Camera calibration is the problem of determining the relationship between the 2D image a camera perceives and the 3D information of the imaged object, including the extrinsic parameters and the intrinsic parameters. The intrinsic parameters characterize the inherent properties of the camera optics, including the focal length, the image center, the image scaling factor and the lens distortion coefficients; the extrinsic parameters of a camera indicate the position and the orientation of the camera with respect to a world coordinate system. In this paper, we propose a new method for computing the extrinsic parameters basing on the results of geometric invariants. Experimental results show that this method is simpler and more robust to noise.

本文给出了一种以空间不变量的数据来计算摄象机外部参数的方法.空间透视不变量是指在几何变换中如投影或改变观察点时保持不变的形状描述.由于它可以得到一个相对于外界来讲独立的物体景物的特征描述,故可以很广泛的应用到计算机视觉等方面.摄象机标定是确定摄象机摄取的2D图象信息及其3D实际景物的信息之间的变换关系,它包括内部参数和外部参数两个部分.内部参数表征的是摄象机的内部特征和光学特征参数,包括图象中心(Cx,Cy)坐标、图象尺度因子Sx、有效的焦距长度f和透镜的畸变失真系数K;外部参数表示的是摄象机的位置和方向在世界坐标中的坐标参数,它包括平移矩阵T和旋转矩阵R3×3,一般情况下可以写成一个扩展矩阵[RT]3×4.本文基于空间透视不变量的计算数据,给出了一种标定摄象机外部参数的方法,实验结果表明该方法具有很强的鲁棒性.

The unknown but bounded measurement errors in camera calibration are considered, and the problem of camera calibration is solved with set membership estimation approach. A new algorithm based on an existing camera calibration framework is proposed. Simulation results show that the new algorithm can not only produce the required parameter estimates and upper bounds on estimation errors, but also attain satisfactory calibration accuracy.

指出摄象机标定问题中存在的观测误差适于用未知但有界误差 (U BBE)模型描述 ,标定问题可用集内不确定 (SMU )估计方法解决。针对有关文献研究的一种摄象机内部参数标定问题 ,提出了利用 SMU估计方法进行参数标定的新算法。仿真实验结果表明 ,新算法不仅可以在给出标定结果的同时给出标定误差确定的上界 ,而且可获得较好的标定精度 ,具有一定的使用价值。

 
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