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首页> 外文期刊>Journal of biomechanical engineering. >Development of a New Calibration Procedure and Its Experimental Validation Applied to a Human Motion Capture System
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Development of a New Calibration Procedure and Its Experimental Validation Applied to a Human Motion Capture System

机译：一种新的校准程序的开发及其在人体运动捕捉系统中的实验验证

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摘要

Motion capture systems are often used for checking and analyzing human motion in biomechanical applications. It is important, in this context, that the systems provide the best possible accuracy. Among existing capture systems, optical systems are those with the highest accuracy. In this paper, the development of a new calibration procedure for optical human motion capture systems is presented. The performance and effectiveness of that new calibration procedure are also checked by experimental validation. The new calibration procedure consists of two stages. In the first stage, initial estimators of intrinsic and extrinsic parameters are sought. The camera calibration method used in this stage is the one proposed by Tsai. These parameters are determined from the camera characteristics, the spatial position of the camera, and the center of the capture volume. In the second stage, a simultaneous nonlinear optimization of all parameters is performed to identify the optimal values, which minimize the objective function. The objective function, in this case, minimizes two errors. The first error is the distance error between two markers placed in a wand. The second error is the error of position and orientation of the retroreflective markers of a static calibration object. The real co-ordinates of the two objects are calibrated in a co-ordinate measuring machine (CMM). The OrthoBio system is used to validate the new calibration procedure. Results are 90% lower than those from the previous calibration software and broadly comparable with results from a similarly configured Vicon system.
机译：运动捕捉系统通常用于检查和分析生物力学应用中的人体运动。在这种情况下，重要的是系统应提供最佳的精度。在现有的捕获系统中，光学系统是精度最高的系统。在本文中，提出了一种针对光学人体运动捕获系统的新校准程序的开发。该新校准程序的性能和有效性也通过实验验证进行了检查。新的校准程序包括两个阶段。在第一阶段，寻求内在和外在参数的初始估计量。此阶段使用的相机校准方法是蔡先生提出的一种方法。这些参数是根据相机的特性，相机的空间位置以及捕获量的中心确定的。在第二阶段，执行所有参数的同时非线性优化，以识别最佳值，从而将目标函数最小化。在这种情况下，目标函数将两个误差减至最小。第一个误差是放置在棒中的两个标记之间的距离误差。第二个误差是静态校准物体的回射标记的位置和方向误差。两个对象的实际坐标在坐标测量机（CMM）中进行校准。 OrthoBio系统用于验证新的校准程序。结果比以前的校准软件低90％，并且与类似配置的Vicon系统的结果大致可比。

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