An example is presented to verify the feasibility and availability of the given self-calibration algorithm.
通过应用实例验证了该算法的可行性和有效性。
This passage introduces a quick and on-line self-calibration algorithm for external camera parameters based on binocular vision system.
提出了一种基于双目立体视觉的摄像机外参数在线自标定算法。
The embedded software adopts algorithm which is combined with measuring technique and computer technique so that the instrument is capable of self-adjusting to zero, calibration and digital fliter.
内嵌的仪表软件采用的算法将测量技术和计算机技术结合起来，使仪表具有自动调零、校准、软件滤波等功能。
In allusion to the problem of dynamic self-calibration, a novel self-calibrating algorithm for visual position based on particle swarm optimization (PSO) is suggested in this paper.
针对动态自标定的问题，提出了一种改进的基于粒子群优化(PSO)的自标定位置视觉定位算法。
Then camera self-calibration was applied by using the bundle adjustment algorithm to optimize the initial values.
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.
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。
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