Rossi Marcel M, Silvatti Amanda P, Dias Fabio A S, Barros Ricardo M L
a School of Sport Science, Exercise and Health, The University of Western Australia , 35 Stirling Highway, Crawley, Perth 6009 , Australia.
Comput Methods Biomech Biomed Engin. 2015 Jul;18(9):993-1002. doi: 10.1080/10255842.2013.866231. Epub 2013 Dec 17.
This study aimed at assessing the applicability of a robust method to determine and correct lens distortion before using the direct linear transformation (DLT) algorithm in three-dimensional motion analysis. The known length of a rigid bar was reconstructed under different conditions of working volume (interpolation or extrapolation), number of cameras (2 or 4), position of the cameras (wide or narrow angle between optical axes), camera focal distance (4 or 8 mm) and number of control points (CPs; 8, 12, 18 or 162), through four different camera set-ups. The accuracy (percent root mean square error) of Set-up 2 (non-extrapolated working volume; two cameras; 4 mm focal distance; narrow optical axes angle) decreased with less CPs (162: 0.73%; 8: 2.78%). Set-up 1 (non-extrapolated working volume; two cameras; 8 mm focal distance; wide optical axes angle), Set-up 3 (Set-ups 1 and 2 used simultaneously) and Set-up 4 (extrapolated working volume; two cameras; 4 mm focal distance; wide optical axes angle) showed minor differences in accuracy across groups of CPs, with maximum values of 0.84%, 1.20% and 1.71%, respectively. Random errors were the main source of decreased accuracy of Set-ups 2 and 4.The proposed procedure enables accurate results with no modification in the DLT-based analysis system, even with smaller calibration frames, less CPs and wide field-of-view cameras.
本研究旨在评估一种稳健方法在三维运动分析中使用直接线性变换(DLT)算法之前确定和校正镜头畸变的适用性。通过四种不同的相机设置,在不同的工作体积条件(内插或外推)、相机数量(2个或4个)、相机位置(光轴之间的广角或窄角)、相机焦距(4或8毫米)和控制点(CPs)数量(8、12、18或162个)下,对一根刚性杆的已知长度进行重建。设置2(非外推工作体积;两个相机;4毫米焦距;窄光轴角度)的精度(均方根误差百分比)随着CPs数量减少而降低(162个:0.73%;8个:2.78%)。设置1(非外推工作体积;两个相机;8毫米焦距;广光轴角度)、设置3(同时使用设置1和2)和设置4(外推工作体积;两个相机;4毫米焦距;广光轴角度)在不同CPs组的精度上显示出微小差异,最大值分别为0.84%、1.20%和1.71%。随机误差是设置2和4精度下降的主要来源。即使使用更小的校准框架、更少的CPs和广角相机,所提出的程序也能在基于DLT的分析系统中无需修改即可获得准确结果。