A fast evaluation approach of geometrical correspondence uncertainty for 3-D vision measurement system

Abstract

This paper addresses an approach for fast evaluation approach of correspondence uncertainty in 3-D vision metrology systems. The mathematic model of spatial resolution measurement area of a 3-D active vision system is developed from the calibrated system parameters. Using the derived model, error of correspondence matching between digital micro-mirrors device (DMD) and charge coupled device (CCD) camera is analyzed. Moreover, a performance index, expressed in terms of correspondence uncertainty, is used for evaluation of the upper and lower bound of resolution. In order to verify the proposed evaluation approach, a precision surface measurement system is established and calibrated. Our analysis shows that the upper part of the measurement area has the smallest correspondence uncertainty, which agrees well with the real physical arrangement. The variation of correspondence uncertainty within the measurement area is around 60.96%. Furthermore, based on the theoretical analysis of uncertainty bounds, an experimental measurement on gauge block was carried out and validated the method.