A cooperative multiscale phase-based disparity algorithm

In this paper, we propose a phase-based disparity estimation algorithm embedded in two different cooperative multiscale schemes. The first disparity integration scheme selects the best disparity as the one having the highest magnitude of the Gabor coefficient through the scales, while the second scheme assumes that the best disparity is the one for which the local spatial frequency is the nearest, in relative distance, from the peak tuning frequency of the filter. We show that both these schemes are efficient and roughly equivalent since they give the same results.