Robust Phase Correlation based Motion Estimation and Its Applications

Abstract

This paper presents a robust phase correlation technique and a compound phase correlation method for reliable sub-pixel image feature matching and motion estimation. A phase fringe filter and a highly robust estimator QMDPE are used to improve the fitting accuracy of the phase difference plane in Fourier domain. A compound phase correlation method is proposed to identify and decompose the multiple motion patterns in phase difference matrix at sub-pixel accuracy. This compound phase correlation method is the breakthrough in improving the robustness of phase correlation based feature matching around motion boundary or depth discontinuity. With the robust phase correlation and the compound phase correlation combined algorithm, the optical flow estimation and stereo matching achieved remarkable accuracy, especially around the areas with the motion boundary or depth discontinuity.