摄像机标定是精确的视觉系统的前提。
The precondition of accurate visual system is accurate camera calibration.
求取摄像机的内外参数，即摄像机标定。
Secondly, compute the internal and external parameters of cameras named as camera calibration.
摄像机标定是立体视觉研究的重要组成部分。
Camera calibration is a important study part of stereo vision.
这些特征点的成功提取是进行摄像机标定的前提。
The success of these feature points 'extraction is prerequisite for the camera calibration.
给出了一种基于菱形作为平面模板的摄像机标定方法。
This paper introduces a method for camera calibration based on rhombus .
对所设计的贴片机视觉对中系统进行了摄像机标定。
Methods of correcting and compensating initial error have been designed.
摄像机标定是机器视觉检测系统研究的重点问题之一。
Camera calibration problem is one of key issues of machine vision research.
给出了一种基于菱形作为平面模板的摄像机标定方法。
This paper introduces a method for camera calibration based on rhombus.
摄像机标定方法是计算机视觉应用中的一个重要问题。
Method for camera calibration is an important problem in the application of computer vision.
摄像机标定技术是计算机视觉研究中的关键技术之一。
Calibration of camera is one of the key technologies of Computer Vision.
所以可以使用摄像机标定的方法对X射线图像进行几何校正。
So I use the camera calibration method for X-ray image geometric correction.
摄像机标定、立体校正以及三维表面重建是立体视觉研究的重要内容。
Camera calibration, stereo rectification and three-dimensional reconstruction are the important con tents of stereovision research.
论文论述了摄像机标定技术和计算机视觉测距的基本方法与典型技术。
At the end of this paper, we discuss the basic method and typical technology of the camera demarcation technology and the machine vision range finding.
提出一种实现通用摄像机标定和现场高精度立体视觉传感器标定的新方法。
A novel high-precision calibration method for universal camera calibration and on-field stereo visual sensor calibration is proposed.
结合摄像机标定结果和优化算法从二维图像坐标中计算目标物体的世界坐标。
The camera calibration result and optimization algorithm are used to calculate the object's world coordinate from image coordinate.
目前对单个摄像机标定的研究已经比较成熟，并且能够得到较好的标定结果。
The current study on single camera calibration is relatively mature, and can get good results.
摄像机标定方法的选择和标定精度直接影响着轮对动态视觉测量系统的精度。
The accuracy of vision measurement system is influenced by choices of the calibration method and calibration accuracy.
论文主要研究工作如下：1。研究了增强现实摄像机标定技术和视觉成像技术。
This paper completed the following work:1. Researched on camera calibration technique and visual imaging technology of Augmented Reality.
在此基础上提出了一种新的、可以有效简化摄像机标定过程的摄像机标定方法。
We also put forward a new camera calibration method based on the feature circular, which can simplify the calibration process.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
本文对双目视觉目标定位所涉及的摄像机标定、特征提取及立体匹配等关键技术进行研究。
In this thesis, the key technologies such as camera calibration, feature extraction and stereo matching involved in binocular vision were studied.
接下来，我们利用以提取的特征点的图像坐标，以及它们已知的世界坐标进行摄像机标定。
Next, we use the feature point's image coordinates, and their known world coordinates to calibrate camera.
对此，本文提出了摄像机标定模型和投影机标定模型，并对使用标定板的注意点进行了说明。
The calibration method includes the camera calibration and project calibration, also the paper mentions some notice when using calibration board.
针对摄像机标定模板图像的角点检测问题，提出了两种简便而有效的亚像素级精度的提取算法。
Two simple and efficient algorithms of sub-pixel corner detection for camera calibration dy using plane pattern were presented.
本文提出了一种基于几何仿射不变量和亮度不变量的缺失摄像机标定参数图像的立体匹配方法。
In this paper, a stereo matching method for image uncalibrated camera parameter is proposed, which is based on geometric affine invariant and photometric invariant.
首先介绍摄像机的透视投影模型，并讲述了普通摄像机标定的方法和两种平面模板的标定方法。
The next topic is camera calibration and we give an ordinary way to calibrate and two calibration method of using one model plane.
结合单平面模板的摄像机标定，给出了线结构光平面的标定步骤，并对其误差进行了概要分析。
Lastly, the steps of structured-light plane calibration and general error analyses are provided, according to the single-plane calibration of camera.
提取标志点像素坐标是传统的摄像机标定中关键的步骤之一，其精度影响着摄像机标定的精度。
Extracting pixel coordinate of control points is one of important methods in general camera calibration.
提取标志点像素坐标是传统的摄像机标定中关键的步骤之一，其精度影响着摄像机标定的精度。
Extracting pixel coordinate of control points is one of important methods in general camera calibration.
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