Efficient 3-dimensional model reconstruction based on marker encoded fringe projection profilometry

Abstract

This paper presents a novel marker encoded fringe projection profilometry (FPP) scheme for efficient 3-dimensional (3D) model reconstruction. Traditional FPP schemes often have large error when reconstructing 3D model of objects with abruptly changing height profile. In the proposed scheme, markers are encoded in the projected fringe pattern to resolve the ambiguities in the fringe images due to that problem. Using the analytic complex wavelet, the marker cue information can be extracted from the fringe image, and is used to restore the order of the fringes. A series of simulations and experiments have been carried out to verify the proposed scheme. Experimental results show that the proposed method can accurately reconstruct the 3D model of objects with abruptly changing height profile. It is superior to the traditional FPP methods and facilitates real time 3D measurement for color object using only a single fringe image.