Using a Monte-Carlo-based approach to evaluate the uncertainty on fringe projection technique

TL;DR

This paper presents a Monte Carlo-based method for comprehensive uncertainty analysis in fringe projection techniques, accounting for calibration and noise at different scales, with results aligning closely with experimental data.

Contribution

It introduces a Monte Carlo approach to evaluate uncertainty in fringe projection, considering calibration and noise effects at multiple scales, which was not previously addressed.

Findings

Uncertainty at macroscopic scale is approximately 100 μm.

Calibration and phase noise are significant at microscopic scale.

Monte Carlo method effectively estimates uncertainty in fringe projection.

Abstract

A complete uncertainty analysis on a given fringe projection set-up has been performed using Monte-Carlo approach. In particular the calibration procedure is taken into account. Two applications are given: at a macroscopic scale, phase noise is predominant whilst at microscopic scale, both phase noise and calibration errors are important. Finally, uncertainty found at macroscopic scale is close to some experimental tests (~100 {\mu}m).