Phase Image Decoding Algorithm for Three-Dimensional Geometry Measurements of Dynamic Objects

We propose an algorithm for decoding phase images that has algorithmic complexity \( O(N\log N) \). The method is based on an iterative search for the minimum deviation of the model function from the measurement results. The use of an interval search algorithm permitted considerably reducing the computational complexity of the algorithm. The error of the proposed method is comparable to the error of the phase image decoding method based on the analytical solution of the system of equations describing the intensity in the phase images.