Color-fringe pattern profilometry using an efficient iterative algorithm

Abstract

Colored fringe pattern approach has been proposed to overcome the limitations of the sequential phase-shifting fringe pattern profilometry for dynamic measurements. However, the use of colored fringe patterns leads to a mayor problem, the color cross-talk, which has been considered to be equivalent to reconstructing the phase map from the fringe patterns with unknown phase shifts. Therefore, phase error is introduced when conventional phase-shifting algorithms with fixed phase shift values are used to retrieve the phase. To overcome the cross-talk issue, we propose the use of a fringe pattern normalization algorithm to achieve the intensity modulation balance among the different color channels and then the use of an advanced iterative algorithm to retrieve the phase. Simulations and experimental results show that the proposed procedure can significantly reduce the influence of the color cross-talk.