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。
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；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。
In the embedding step, four points are specified to build the world coordinate system so that the virtual objects are superimposed on the real scene images in the proper positions.
在嵌入阶段，我们指定了四个点来建立世界坐标系，以确保虚拟物体能够成功叠加到真实场景中的正确位置。
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。
Relations of coordinate transform among camera coordinate system, projector coordinate system and world coordinate system are derived based on perspective projection models for camera and projector.
通过摄像机和投影仪的透视投影模型，推导了摄像机坐标系、投影仪坐标系和世界坐标系之间的坐标变化关系。
Relations of coordinate transform among camera coordinate system, projector coordinate system and world coordinate system are derived based on perspective projection models for camera and projector.
通过摄像机和投影仪的透视投影模型，推导了摄像机坐标系、投影仪坐标系和世界坐标系之间的坐标变化关系。
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