Algorithm for stereovision disparity calculation in the moment space

This article presents various theoretical and experimental approaches to the problem of stereo matching and disparity estimation. We propose to calculate stereo disparity in the moment space, but we also present numerical and correlation-based methods. In order to calculate the disparity vector, we decided to use the discrete orthogonal moments of Tchebichef, Zernike and Legendre. In our research in stereo disparity estimation, all of those moments were tested and compared. Experimental results confirm effectiveness of the presented methods for determining stereo disparity and stereo matching for robotics and machine vision applications.