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Another look at volume self-calibration: calibration and self-calibration within a pinhole model of Scheimpflug cameras

机译:体积自校准的另一种眼光:Scheimpflug相机针孔模型中的校准和自校准

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We address calibration and self-calibration of tomographic PIV experiments within a pinhole model of cameras. A complete and explicit pinhole model of a camera equipped with a 2-tilt angles Scheimpflug adapter is presented. It is then used in a calibration procedure based on a freely moving calibration plate. While the resulting calibrations are accurate enough for Tomo-PIV, we confirm, through a simple experiment, that they are not stable in time, and illustrate how the pinhole framework can be used to provide a quantitative evaluation of geometrical drifts in the setup. We propose an original self-calibration method based on global optimization of the extrinsic parameters of the pinhole model. These methods are successfully applied to the tomographic PIV of an air jet experiment. An unexpected by-product of our work is to show that volume self-calibration induces a change in the world frame coordinates. Provided the calibration drift is small, as generally observed in PIV, the bias on the estimated velocity field is negligible but the absolute location cannot be accurately recovered using standard calibration data.
机译:我们在相机的针孔模型中解决了层析PIV实验的校准和自校准问题。提出了配有2个倾斜角度Scheimpflug适配器的相机的完整而明确的针孔模型。然后将其用于基于自由移动的校准板的校准过程中。虽然所得到的校准对于Tomo-PIV足够准确,但我们通过一个简单的实验证实了它们在时间上不稳定,并说明了针孔框架如何用于对设置中的几何漂移进行定量评估。我们提出了一种基于全局优化的针孔模型外部参数的原始自校准方法。这些方法已成功地应用于喷气实验的断层成像PIV。我们的工作出乎意料的副产品是显示体积自校准会导致世界坐标系发生变化。如果校准漂移很小(通常在PIV中观察到),则估计速度场上的偏差可以忽略不计,但使用标准校准数据无法准确恢复绝对位置。

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