提出了一种两阶段的摄像机定标方法。
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。
Camera calibration: Camera calibration is an important prerequisite for most computational vision tasks.
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。
By importing the camera calibration technique, a convenient and practical calibration method is proposed.
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。
The camera calibration method which is used widely at present is discussed, and analyzes the robustness.
基于棋盘格模板图像内部角点的识别是摄像机定标过程中的关键环节。
Recognizing and locating the internal corners of a planar checkerboard pattern image is very important in camera calibration.
基于棋盘格模板图像内部角点的识别是摄像机定标过程中的关键环节。
The location of the internal corners of a planar checkerboard pattern image is very important to camera calibration.
在前人工作的基础上，进一步完善了非线性度量误差模型在摄像机定标的应用。
The application of nonlinear error in measure model in the calibration of camera is further improved on the base of other researcher.
摄像机定标大体可以分为两种方法，即传统摄像机定标方法和摄像机的自定标方法。
There are generally two kinds of methods for camera calibration: normal camera calibration methods and self-calibration.
本文系统研究了立体视觉三维测量中摄像机定标、特征点的提取与匹配、图像处理和三维计算等关键技术。
The key problems such as cameral calibration, characteristics obtaining and matching, image processing and 3D information calculation etc.
兴趣点检测是许多计算机视觉应用的基础，如：摄像机定标、三维重建、图像匹配、视频检索、运动估计等。
The detection of interest points is the basis of kinds of computer vision applications, such as: camera calibration, 3d reconstruction, image matching, video retrieval, motion estimation, etc.
分析了摄像机模型，提出了基于两阶段法和捆绑调整的摄像机定标方法，并通过模拟实验和真实实验进行了验证。
This paper analyzes the camera model and proposes calibration methods based on the two stage method and bundle adjustment. Both simulated experiments and real data were used to verify the methods.
第一章介绍了线性摄像机模型以及摄像机定标的一般性知识和几种常见的传统定标方法，比如直接线性变换方法和两步法等。
In the first chapter, we introduce linear camera model and some general knowledge and several traditional methods of camera calibration, such as Direct linear Transformation and two-step method etc.
本文给出一种由未定标图像进行摄像机自定标的方法。
A new method for camera self calibration from uncalibrated images is presented in this paper.
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。
Afterwards we expound the whole industrial robot software and hardware and the problem about the camera calibration.
摄像机自定标技术是研究的一个重要方面。
本文研究的内容属于IBR范畴，主要讨论把摄像机自定标技术应用到IBR中。
The research of the thesis belongs to the field of ibr, and aims at applying camera self-calibration to ibr.
第二章主要给出通过摄像机的平移运动来实现自定标的方法。
In the second chapter, we talk about the method for camera self-calibration through translation movement of the camera.
本论文主要讨论摄像机自定标理论与算法。
In this paper, we introduce the relative knowledge and technique around the theory of camera calibration.
本文研究了立体摄像机精确定标方法，探讨并验证了摄像机镜头径向畸变的消除方法。
The accurate calibration methods of stereo cameras are studied, the way of erasing the radial distortion of cameras has been discussed and proved in experiment.
摄像机自定标方法则是利用多幅不同的图像之间的几何关系，通过求解基本矩阵求得摄像机的内部参数和还原摄像机的外部参数。
And the self-calibration method of camera is to resolve the basic matrix with the geometrical relation amount many different images, so the internal and external parameters can be resolved.
近年来，3维目标建模一直是计算机视觉及摄影测量领域的研究热门，其中拍摄目标的相机(或摄像机)定标是问题的关键之一。
In recent years, many researches is about building 3d object model in the fields of computer vision and photogrammetry, and camera calibration becomes the key problem.
近年来，3维目标建模一直是计算机视觉及摄影测量领域的研究热门，其中拍摄目标的相机(或摄像机)定标是问题的关键之一。
In recent years, many researches is about building 3d object model in the fields of computer vision and photogrammetry, and camera calibration becomes the key problem.
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