研究了在特殊成像条件（摄像机纯旋转）下直接由图像序列进行自标定的方法。
Study how to realize camera self-calibration directly from image sequence under special imaging condition (camera pure rotation).
提出了一种基于圆环点的新的摄像机自标定方法。
A new easy technique for calibrating a camera based on circular points is proposed.
通过对图像瞄准系统中的畸变分析，提出以激光长度测量值作为长度基准的成像系统在线自标定方法。
In this paper the distortion of image collimating system is analyzed, and then an on-line self-calibration method with double-frequency laser length measuring result as length datum is presented.
首先，提出采用一种介于传统标定方法和自标定方法之间的内外参数分离的标定方法。
Firstly, a CCD calibrating approach in the midst of traditional and self-calibrating methods is advanced to separate the inner and the outer parameters.
提出了一种新的惯导误差系数标定方法———连续自标定自对准方法。
This paper presents a new continuous self-calibration and alignment technology of inertial navigation platform.
在研究了传统标定、自标定及主动标定的基础之上，进行了基于神经网络的立体标定方法的研究。
After studying the knowledge of the traditional calibration, self - calibration and active calibration, the thesis carried on the research of stereo calibration based on neural networks.
由于实验条件的限制，本文只是简要介绍了传统的标定方法和自标定方法。
Because of experimental conditions, this paper only introduced the traditional calibration methods and self-calibration methods.
针对该测量系统的特点，提出了一种新的自标定方法来识别机器人的运动学参数，并设计了专用的实物基准。
In this paper, a new self calibration method is present to identify the kinematic parameter of robot manipulator.
研究探讨了一种基于平面二次曲线的纯旋转摄像机自标定方法。
In this paper, instead of corresponding image points which are widely used in the literature, corresponding image conics are used to calibrate a rotating camera.
不仅克服了传统方法设备要求高、操作繁琐的缺点，而且比自标定方法的精度高。
The method not only overcome the conventional method's faults such as high requirement for facility and complex operation, but also attained higher precision than self-calibration method.
基于平面模板摄像机自标定的新算法，利用正六边形的特性，给出了一种精确求解其外接圆圆心的巧妙方法。
In this paper, we discuss a new method for camera self-calibration based on a plane pattern of equilateral-dodecagon.
主要工 作可以归纳为以下三个方面：1．基于圆环点的摄像机自标定方法研究。
The main work of this thesis consists of the following three parts: 1. Camera Self-calibration Based on Circular Points.
提出了一种新的结合摄影测量和计算机视觉相关理论的摄像机自标定方法。
This paper proposed a new camera self-calibration method based on image sequences, which combined the theory of photogrammetry and computer vision.
通过实验，利用基于主动视觉的线性自标定技术，完成了对相机的自标定，并利用基于特征点的立体匹配方法，完成了点的三维重构。
In the experiment, we reconstruct 3-d position of the target by linear self-calibration technology based on active vision and the matching method based on characteristic points.
通过实验，利用基于主动视觉的线性自标定技术，完成了对相机的自标定，并利用基于特征点的立体匹配方法，完成了点的三维重构。
In the experiment, we reconstruct 3-d position of the target by linear self-calibration technology based on active vision and the matching method based on characteristic points.
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