使用环形编码标志点实现相机姿态自动定向，将相机自标定技术应用于光束平差，用于优化测量结果。
Then camera self-calibration was applied by using the bundle adjustment algorithm to optimize the initial values.
编码标志点由编码点和标志点组成，其中标志点提供位置信息，编码信息被编译储存在编码点的排布中。
Position information is provided by the marked points with the coding information compiled and stored in the coding points.
提出了一种编码标志点的设计与检测方法，以满足三维扫描测量中对大面积物体进行全场检测的编码标志点拼接法的要求。
An algorithm was developed for 3-d registration of coded targets based on observations of all sides of objects with large surface areas.
提出了基于编码标志点的框架拼接法，采用数码相机三维重构与结构光三维扫描技术相结合的方法，实现了大面积形体的三维精确测量。
In this paper, the method of frame registration based on the coded points is proposed and large surface is measured through 3d reconstruction and 3d scanning with structured light.
提出了基于编码标志点的框架拼接法，采用数码相机三维重构与结构光三维扫描技术相结合的方法，实现了大面积形体的三维精确测量。
In this paper, the method of frame registration based on the coded points is proposed and large surface is measured through 3d reconstruction and 3d scanning with structured light.
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