Developing a Robust Acquisition System for Fringe Projection Profilometry

Abstract

Since Fringe Projection Profilometry (FPP) is an intensity-based coding strategy, it is prone to improper optical setup arrangement, surface texture and reflectance, uneven illumination distribution, among others. These conditions introduce errors in phase retrieval which lead to an inaccurate 3-D reconstruction. In this paper, we describe a dynamic approach toward a robust FPP acquisition in challenging scenes and objects. Our aim is to acquire the best possible fringe pattern image by adjusting the object closer to an ideal system-object setup. We describe the software implementation of our method and the interface design using LabVIEW. Experimental results demonstrate that the proposed method greatly reduces sources of error in 3-D reconstruction.

Simultaneous Measurement of In-Plane and Out-of-Plane Displacements Using Talbot Fringe Projection

“…As an example of a fringe-based technique, fringe projection has been widely used to develop measurement systems at the macroscopic and microscopic levels [1][2][3][4][5][6]. is technique can be used to generate 3D full-field noncontact topography images of objects with high resolution, high speed, and fast data processing [7]. In fringe projection techniques, fringes are projected onto the surface of a diffusely reflecting sample.…”