SUMMARYThe usage of depth data from time-of-flight or any equivalent devices overcomes visual challenges presented under low illumination. For integrating such data from multiple sources, the paper proposes a novel tool for the calibration of sensors. The proposed tool consists of retro-reflective stripped spheres. To correctly estimate these spheres, the paper investigates the performance of spherical estimations from either infrared or depth data. The relationship between sensors is determined by calculating the poses between the calibration tool and each sensor. The paper evaluates and compares the proposed approach against other state-of-the-art approaches in terms of shape reconstruction and spatial consistency.

中文翻译：

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使用球体反射图案校准多深度传感器网络：理论与实验

总结使用来自飞行时间或任何等效设备的深度数据克服了在低照度下呈现的视觉挑战。为了整合来自多个来源的此类数据，本文提出了一种用于校准传感器的新工具。所提出的工具由回归反射剥离球体组成。为了正确估计这些球体，本文研究了根据红外或深度数据进行球面估计的性能。通过计算校准工具和每个传感器之间的位姿来确定传感器之间的关系。本文在形状重建和空间一致性方面评估并比较了所提出的方法与其他最先进的方法。