Cerveri P, Borghese N A, Pedotti A
Laboratory of Human Motion Study and Virtual Reality, Istituto Neuroscienze e Bioimmagini CNR, LITA, Segrate, Milano, Italy.
J Biomech. 1998 Oct;31(10):935-40. doi: 10.1016/s0021-9290(98)00104-3.
This paper presents a new method for calibrating a video 3D stereo-photogrammetric system. The external parameters and the focal lengths of the cameras are determined from the epipolar constraint and the principal points are computed through the minimisation of a cost function carried out through an evolutionary optimisation. The method has been made more robust with a deterministic annealing procedure of the search region amplitude. Calibration is carried out by moving a rigid bar, carrying two markers on its extremities, inside the working volume. The distance between the two markers is the only measure required. Tests on real data are reported which show that the obtained accuracy is comparable to the one achieved calibrating with control points of known 3D coordinates.
本文提出了一种用于校准视频三维立体摄影测量系统的新方法。通过对极约束确定相机的外部参数和焦距，并通过进化优化进行成本函数的最小化来计算主点。通过对搜索区域幅度进行确定性退火过程，该方法变得更加稳健。通过在工作空间内移动一根在其两端带有两个标记的刚性杆来进行校准。两个标记之间的距离是唯一需要测量的量。报告了对实际数据的测试，结果表明所获得的精度与使用已知三维坐标的控制点进行校准所达到的精度相当。
