Firstly the thesis uses the relative rotation between two cameras to calculate the unified camera rotation relative to the unified the world coordinate system .

首先利用两两相机之间的相对旋转关系，求出每个相机针对统一 世界 坐标系的旋转关系。

World Coordinate Transition Program in Delphi Language

大地 坐标转换程序的DELPHI语言实现

Summarizes all the four kinds of coordinate systems in the GDI ( Graphical Device Interface ) such as world coordinate logical coordinate device coordinate and physical coordinate .

GDI坐标包括逻辑坐标、设备坐标、物理坐标和 世界 坐标等四种，其中设备 坐标有屏幕 坐标、窗口 坐标和用户 坐标等三种。

The camera calibration result and optimization algorithm are used to calculate the object 's world coordinate from image coordinate .

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。

It aims to find out the rigid transformations of all range images captured from different viewpoints and then bring them into a common coordinate system i.e. the world coordinate system .

深度像配准是三维数字成像的关键一环，其目的就是寻找不同视角深度像间的空间位置转换关系，从而将这些深度像统一到同一个 世界 坐标系内。

The light-plane parameters are successfully calibrated . Moreover the measurement references of both two cameras are unified into a common world coordinate system accurately . 4 .

成功地完成了左右摄像机光平面参数的标定，并将左右摄像机的测量基准统一于共同的 世界 坐标系。

Before we reconstruct a3-dimensional ( 3D ) model of a scene from a set of2D images firstly we need to unify the world coordinate system ( WCS ) .

在一系列二维图像中重建一个场景的三维模型之前，首先需要统一多摄像机的 坐标系。

Establishing mapping relationship between image coordinate system and the world coordinate system vehicle movement speed can be calculated .

然后，建立图像坐标系和 世界 坐标系的映射关系，根据测速原理，计算车辆运动速度。

Using OpenGl to solve the transformation between screen coordinate and world coordinate

利用OpenGL实现屏幕坐标与 世界 坐标的相互变换

The coordinate transformation matrix from the world coordinate system to the object coordinate system is derived by finding the converse matrix .

利用矩阵求逆的方法，推导出 世界 坐标 系到物坐标系的坐标变换矩阵。

By using matrix transform method the kinematic analysis for the mechanism is carried out and the mathematical model is established . So the transformation relationship between the camera coordinate system and the world coordinate system is confirmed .

利用矩阵变换方法进行运动学分析，建立该机构的数学模型，确定摄像机坐标系和 世界 坐标系之间的变换关系，推导位置、速度、加速度正反解公式。

Establish the model of monocular measurement through the geometric relationship obtain the transformation relationship between image coordinate and world coordinate system and finally achieve the obstacles of distance measurement .

通过几何关系推导法建立测距模型，获得图像坐标与 世界 坐标系之间的转换关系，最后实现障碍物距离的测算。

Under the assumption that all the camera intrinsic parameters have been known we focus on the calibration of camera extrinsic parameters including the relative rotation matrix R and translation vector between the camera coordinate system and the world coordinate system .

在假定摄像机内参数已标定的情况下，标定摄像机外部参数包括摄像机坐标系相对于 世界 坐标系的旋转矩阵R和平移矢量T，即估计摄像机姿态。

Method of calibration applied for welding seam tracking is analyzed and studied in the paper . The conversion model is created among world coordinate camera coordinate image coordinate and pixel coordinate according to the principle of photic .

对焊缝跟踪系统中标定算法模型进行了分析研究，根据光学成像几何原理方法，完成 世界 坐标、摄像机坐标、像坐标和像素坐标的转换模型。

It has been proved in the literature that the homography from the x-y plane of the world coordinate system to the image plane can give rise two linear constraints on the camera 's intrinsic parameters .

空间 x-y 坐标平面与图像平面之间的单应矩阵可以提供关于摄像机内参数的2个线性约束。

Based on specific projection rules we find a relation between the in-camera coordinate and the real world coordinate .

基于特定的投影规则，得到了图像坐标与物理 坐标间的一种特定的映射关系。

So the relationships between the line-structure-light plane and the two sensors will be established after merging the calibration data of each local world coordinate into a global world coordinate .

它是通过将线结构光投影在一个带有 棋盘格图案的平面靶标 上， 自由地移动几个位置，就可以建立起线结构光平面与摄像机图像平面的关系。

Because the calibration method directly optimizes the camera rotation angles relative to the world coordinate system it ensures the orthonormal constraints as well as the precise solutions .

该标定方案直接优化摄像机相对于 世界 坐标系的旋转角度，因此能够在获得精确解的同时，保证旋转矩阵的正交约束条件。

The model of camera and the conversion from obstacle image coordinate into the world coordinate is completed which the information of obstacle is converted into camera coordinate . therefore the different coordinate are unified .

建立了移动机器人的摄象机模型，从而完成了 世界 坐标 系到摄象机坐标系的转换，使障碍物信息成功地转换到摄像机坐标系，完成了不同坐标系之间的统一。

A new method for merge of range data and texture based on calibrating two cameras in a world coordinate system is proposed .

在将两个摄像机对同一 坐标 系（ 全局 坐标 系）标定的基础上，提出了距离数据及纹理的融合方法。

Based on it a new method is presented to obtain the world coordinate of target point which provides much precondition for locating and tracing the object quickly .

在此基础上提出了一种恢复目标物体在 世界 坐标 系 中 的 三维坐标的方法，为实现对目标物体位置的快速判断和跟踪提供了有力的前提。

The coordinate transformation matrix based on the direction cosine parameters from the object coordinate system to the world coordinate system is derived by vector algebra .

利用矢量代数的方法，推导出以方向余弦为参量的物坐标系到 世界 坐标系的坐标变换矩阵；

With the white line position information the robot vision system is calibrated and robot position and posture in the world coordinate system are obtained . Finally the system setup and software development method are described .

在提取白线位置后，对嵌入式机器人视觉系统进行了标定，得到机器人在 世界 坐标 系 下的位置和姿态。论文最后介绍了嵌入式视觉机器人 实物构建过程中使用的软硬件环境及一些开发方法。

A unique world coordinate based global calibration method with coplanar targets was proposed .

提出了一种基于共面点的 世界 坐标唯一全局标定方法。

The fundamental problem of the registration of the AR is the matrics transformation between the world coordinate camera coordinate image plane coordinate and pixel plane coordinate .

增强现实系统中注册的根本问题是 世界 坐标 系，摄像机坐标系，图像平面坐标系，象素平面坐标系之间的坐标转换问题。

This article introduced a little bit of the theory of world coordinate systems along with a Java class to perform coordinate transformation .

本文简单介绍了有关 世界 坐标系统的一些知识，并提供了执行坐标转换的Java类。

For pinhole model for each point target two equations can be found from the relationship between image coordinate system ( ICS ) and world coordinate system ( WCS ) .

如果相机遵守针孔模型，那么每个对应点可以利用图像坐标系（ICS）和 世界 坐标系（WCS）之间的变换关系列出2个方程。

At last the relatively attitude can be measured by the transformation between vehicle body coordinate system and the world coordinate system of N light points . The algorithm can be confirmed by the result of simulation .

最后利用N个光点在车体坐标系和 世界 坐标 系下的坐标转换，解出月球车的相对姿态，并给出了仿真结果。

The relationship between image coordinate system and world coordinate system is confirmed by the calibrations of microassembly and visual systems .

通过对微装配系统和视觉系统的标定，得到图像坐标系和 世界 坐标 系的关系。