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(WCS)的映射关系,根据测速原理,计算车辆运动速度。
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(WCS)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。
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(WCS)的关系。
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。