Finding similarities in laser micrometers scanned data using cross-covariance

This paper demonstrates a signal processing approach designed to overlay data sets measured using two optical micrometers. Two sensors are used in order to measure object's shape, but measured signals are relatively shifted, because it is impossible to mount sensors into the same position. Covariance method are applied to measurement data and the shift between these sets are evaluated.