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In situ calibration for wide-angle, three-dimensional stereoscopic image analysis

机译：用于广角，三维立体图像分析的原位校准

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Accurate measurement of three-dimensional object coordinates from stereoscopic images is an essential element in various applications that require three-dimensional position information. Conventionally, optical ray tracing has been the measurement method of choice. However, it requires accurate knowledge of geometrical and optical parameters, such as the image distance, camera locations relative to the object field, and size, shape, and refractive index of intervening elements, such as apparatus windows. On the other hand, all these parameters need not be known if an optical transformation method based on an in situ calibration experiment is used. Furthermore, the use of in situ calibration not only increases the effective accuracy of the measured three-dimensional object coordinates but also reduces significantly the computational time compared with conventional optical ray tracing. The computational efficiency of the technique used is essential, especially when the application requires multiple determinations of a large number of three-dimensional coordinates, such as is the case with three-dimensional particle-tracking velocimetry. The basic concept and formulation of an optical transformation method based on an in situ calibration experiment is introduced. The technique is first demonstrated with synthetic data, then case studies with actual in situ calibration data are discussed. (C) 1997 Optical Society of America.
机译：从立体图像精确测量三维物体坐标是需要三维位置信息的各种应用中的基本要素。传统上，光线追踪已成为首选的测量方法。但是，它要求对几何和光学参数有准确的了解，例如图像距离，相对于物场的摄像头位置，以及诸如设备窗口之类的中间元素的尺寸，形状和折射率。另一方面，如果使用基于原位校准实验的光学变换方法，则不需要所有这些参数。此外，与常规的光线追踪相比，使用原位校准不仅可以提高所测三维物体坐标的有效精度，而且可以显着减少计算时间。所使用技术的计算效率至关重要，尤其是在应用程序需要对多个三维坐标进行多次确定的情况下，例如三维粒子跟踪测速仪就是这种情况。介绍了基于原位校准实验的光学变换方法的基本概念和公式。首先用合成数据演示该技术，然后讨论用实际原位校准数据进行的案例研究。 （C）1997年美国眼镜学会。

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