Fringe inverse videogrammetry based on global pose estimation is presented. The camera pose is estimated with planar characteristic points extracted from fringes by Fourier analysis. The fringes are captured using camera with probe, and the coordinates of probe can be measured with the help of the camera pose. The camera pose estimation is the key step in fringe inverse videogrammetry. The cost function for iterative pose estimation involves image-space error and object-space error, both having two local minima. The danger that the cost function converges to a local minimum can be avoided by use of global pose estimation. High-precision pose of camera can be obtained to accomplish the probe calibration and coordinate measurement. The experiments demonstrate that the method can measure the three-dimensional coordinates precisely.