By matrix decompose we at last obtain the camera calibration matrix.
最后分解出摄像机内参数。
This paper introduces a method for camera calibration based on rhombus.
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 .
给出了一种基于菱形作为平面模板的摄像机标定方法。
Camera calibration problem is one of key issues of machine vision research.
摄像机标定是机器视觉检测系统研究的重点问题之一。
A high efficiency and fast camera calibration method is proposed in this paper.
研究提出了一种高效、快速检测系统的标定方法。
A new camera calibration approach of interior and exterior parameters is presented.
提出了一种同时标定四台摄像机的内部和外部参数的新的标定方法。
The success of these feature points 'extraction is prerequisite for the camera calibration.
这些特征点的成功提取是进行摄像机标定的前提。
The camera calibration is of utmost importance for the precision of photogrammetric system.
相机的标定对于整个摄影测量系统的精度起着至关重要的作用。
Method for camera calibration is an important problem in the application of computer vision.
摄像机标定方法是计算机视觉应用中的一个重要问题。
Secondly, compute the internal and external parameters of cameras named as camera calibration.
求取摄像机的内外参数，即摄像机标定。
Studying the non-coplanar camera calibration method and completing the calibration experiment.
研究了摄像机非共面标定方法，完成单目立体视觉传感器的标定实验；
Camera calibration is a basic and crucial problem in the field of robot control with vision feedback.
在视觉反馈机器人的控制中，摄像机的标定是一个基本的、重要性的问题。
A linear camera calibration method with vanishing point and the invariance of cross-ratio is proposed.
在已知一个消隐点的情况下，利用交比不变性及消隐点的知识对摄像机进行标定。
Camera calibration: Camera calibration is an important prerequisite for most computational vision tasks.
摄像机定标：摄像机定标是大多数计算机视觉任务的重要前提。
The camera calibration method which is used widely at present is discussed, and analyzes the robustness.
讨论了目前应用广泛的摄像机定标方法，并对它的鲁棒性进行了分析。
By importing the camera calibration technique, a convenient and practical calibration method is proposed.
对新系统提出了方便实用的标定方法，在其中引入了摄像机定标技术。
Next, the camera calibration methods are studied, including linear calibration and nonlinear calibration.
摄像机参数的标定，包括线性标定方法和非线性标定方法；
In this paper, we introduce the relative knowledge and technique around the theory of camera calibration.
本论文主要讨论摄像机自定标理论与算法。
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。
The true value diagrams are used to do the camera calibration. This method takes nonlinear distortion of the lens.
采用真值表法进行相机标定，将镜头畸变非线性微分化，有效克服了镜头畸变造成的影响。
Afterwards we expound the whole industrial robot software and hardware and the problem about the camera calibration.
然后详细地介绍了整个工业机器人视觉系统的软硬件组成以及摄像机的定标问题。
The expression of relative distortion based on even-power series of a radial radius is commonly used in camera calibration.
基于径向半径偶次幂级数的相对畸变表达式在相机校准中被广泛地采用。
Two simple and efficient algorithms of sub-pixel corner detection for camera calibration dy using plane pattern were presented.
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。
One of the key issues of the virtual studio based on the electromechanical tracking is camera calibration and initial alignment.
摄像机校准和初始定位是基于机械跟踪的虚拟演播室系统的关键技术之一。
The next topic is camera calibration and we give an ordinary way to calibrate and two calibration method of using one model plane.
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。
Camera calibration, stereo rectification and three-dimensional reconstruction are the important con tents of stereovision research.
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。
A novel high-precision calibration method for universal camera calibration and on-field stereo visual sensor calibration is proposed.
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。
An easy method for camera calibration and correction was studied by the mathematical model of camera on the basis of projective theory.
利用透镜成像理论建立摄像机数学模型，提出一种新的简单、快速的摄像机参数标定与修正方法。
Researched and discussed the system theory framework, and analyzed the critical technology questions and the camera calibration techniques.
研究探讨了计算机视觉技术的系统理论框架，分析了计算机视觉系统的关键技术问题和摄像机标定的方法。
Researched and discussed the system theory framework, and analyzed the critical technology questions and the camera calibration techniques.
研究探讨了计算机视觉技术的系统理论框架，分析了计算机视觉系统的关键技术问题和摄像机标定的方法。
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