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Range Camera Self-Calibration Based on Integrated Bundle Adjustment via Joint Setup with a 2D Digital Camera

机译:基于通过与2D数码相机的联合设置进行的集成束调整进行的距离相机自校准

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Time-of-flight cameras, based on Photonic Mixer Device (PMD) technology, are capable of measuring distances to objects at high frame rates, however, the measured ranges and the intensity data contain systematic errors that need to be corrected. In this paper, a new integrated range camera self-calibration method via joint setup with a digital (RGB) camera is presented. This method can simultaneously estimate the systematic range error parameters as well as the interior and external orientation parameters of the camera. The calibration approach is based on photogrammetric bundle adjustment of observation equations originating from collinearity condition and a range errors model. Addition of a digital camera to the calibration process overcomes the limitations of small field of view and low pixel resolution of the range camera. The tests are performed on a dataset captured by a PMD[vision]-O3 camera from a multi-resolution test field of high contrast targets. An average improvement of 83% in RMS of range error and 72% in RMS of coordinate residual, over that achieved with basic calibration, was realized in an independent accuracy assessment. Our proposed calibration method also achieved 25% and 36% improvement on RMS of range error and coordinate residual, respectively, over that obtained by integrated calibration of the single PMD camera.
机译:基于光子混合器(PMD)技术的飞行时间相机能够以高帧频测量到物体的距离,但是,测量范围和强度数据包含需要校正的系统误差。在本文中,提出了一种通过与数字(RGB)相机联合设置的新的集成测距相机自校准方法。该方法可以同时估算系统的范围误差参数以及摄像机的内部和外部方向参数。校准方法基于源自共线性条件和范围误差模型的观测方程的摄影测量束调整。在校准过程中增加了数码相机,克服了测距相机小视野和低像素分辨率的局限性。测试是在PMD-O3摄像机从高对比度目标的多分辨率测试场捕获的数据集上执行的。在独立的精度评估中,与基本校准相比,范围误差的RMS平均提高了83%,坐标残差的RMS平均提高了72%。我们提出的校准方法还比单独的PMD摄像机的集成校准获得了25%和36%的范围误差均方根值和坐标残差改进。

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