Multisensor systems are widely used in large-scale fringe projection profilometry, where the accuracy and efficiency of registration play an important role. However, existing methods using reference targets or auxiliary devices lengthen the coordinate transformation chain and are difficult to achieve high accuracy and efficiency. In this study, we propose a method that uses the absolute phase retrieved from sinusoidal fringe patterns for the registration of different sensors, which can shorten the coordinate transformation chain. First, the corresponding pixels of cameras of different sensors are determined through phase matching and used to calculate the corresponding points on the basis of triangulation, which determines corresponding points between the sensors directly. The coordinate transformation is then calculated. Furthermore, the registration accuracy can be improved by combining the epipolar constraint and bundle adjustment. Experimental results show that the proposed method can be used for accurate and efficient registration without auxiliary devices and reference targets.

多传感器系统广泛用于大规模条纹投影轮廓测量，其中配准的准确性和效率起着重要作用。然而，现有的使用参考目标或辅助设备的方法拉长了坐标转换链，难以实现高精度和高效率。在这项研究中，我们提出了一种使用从正弦条纹图案中检索到的绝对相位进行不同传感器配准的方法，可以缩短坐标变换链。首先，通过相位匹配确定不同传感器相机的对应像素，并用于在三角测量的基础上计算对应点，直接确定传感器之间的对应点。然后计算坐标变换。此外，通过结合对极约束和束调整可以提高配准精度。实验结果表明，该方法无需辅助设备和参考目标即可实现准确高效的配准。