Windolf Markus, Götzen Nils, Morlock Michael
AO Research Institute, Research Services Group, Clavadelerstrasse 8, CH-7270 Davos, Switzerland.
J Biomech. 2008 Aug 28;41(12):2776-80. doi: 10.1016/j.jbiomech.2008.06.024. Epub 2008 Jul 30.
With rising demand on highly accurate acquisition of small motion the use of video-based motion capturing becomes more and more popular. However, the performance of these systems strongly depends on a variety of influencing factors. A method was developed in order to systematically assess accuracy and precision of motion capturing systems with regard to influential system parameters. A calibration and measurement robot was designed to perform a repeatable dynamic calibration and to determine the resultant system accuracy and precision in a control volume investigating small motion magnitudes (180 x 180 x 150 mm3). The procedure was exemplified on the Vicon-460 system. Following parameters were analyzed: Camera setup, calibration volume, marker size and lens filter application. Equipped with four cameras the Vicon-460 system provided an overall accuracy of 63+/-5 microm and overall precision (noise level) of 15 microm for the most favorable parameter setting. Arbitrary changes in camera arrangement revealed variations in mean accuracy between 76 and 129 microm. The noise level normal to the cameras' projection plane was found higher compared to the other coordinate directions. Measurements including regions unaffected by the dynamic calibration reflected considerably lower accuracy (221+/-79 microm). Lager marker diameters led to higher accuracy and precision. Accuracy dropped significantly when using an optical lens filter. This study revealed significant influence of the system environment on the performance of video-based motion capturing systems. With careful configuration, optical motion capturing provides a powerful measuring opportunity for the majority of biomechanical applications.
随着对高精度小运动采集需求的不断增加,基于视频的运动捕捉技术的应用越来越广泛。然而,这些系统的性能很大程度上取决于各种影响因素。为了系统地评估运动捕捉系统在影响系统参数方面的准确性和精度,开发了一种方法。设计了一种校准和测量机器人,用于执行可重复的动态校准,并在研究小运动幅度(180×180×150立方毫米)的控制体积中确定系统的整体精度和准确性。以Vicon - 460系统为例说明了该过程。分析了以下参数:相机设置、校准体积、标记尺寸和镜头滤镜的应用。配备四个摄像头的Vicon - 460系统在最有利的参数设置下提供了63±5微米的整体精度和15微米的整体精度(噪声水平)。相机布置的任意变化显示平均精度在76至129微米之间变化。发现垂直于相机投影平面的噪声水平高于其他坐标方向。包括不受动态校准影响的区域的测量显示精度明显较低(221±79微米)。较大的标记直径导致更高的精度和准确性。使用光学镜头滤镜时精度显著下降。这项研究揭示了系统环境对基于视频的运动捕捉系统性能的重大影响。通过精心配置,光学运动捕捉为大多数生物力学应用提供了强大的测量机会。