A multi-view profilometry system using RGB channel separated fringe patterns and unscented Kalman filter

Abstract

In this paper a one-shot method to determine the shape of an object from overlapping cosine fringes projected from multiple projectors is presented. This overcomes the limitation with single projector systems that do not allow imaging the entire object with a single shot. The proposed method projects orthogonal fringe patterns of different colours from different projectors and uses colour channel isolation and Fourier domain filtering to isolate the fringes. An Unscented Kaman Filter and smoother are used to demodulate the fringe pattern, which does not rely on a strictly sinusoidal fringe pattern for good results. Sources of error are discussed and their effects on the resulting parameter estimation are shown, as well as methods to reduce their impact. The proposed method is tested on simulations and real world objects and it is shown to be effective to isolate interfering fringes and determine the shape of an object with non-sinusoidal fringes input as opposed to Fourier Transform Profilometry.