In this paper we describe a statistical framework for binocular disparity estimation. We use a bank of Gabor filters to compute
multiscale phase signatures at detected feature points. Using a von Mises distribution, we calculate correspondence probabilities
for the feature points in different images using the phase differences at different scales. The disparity map is computed
using the set of maximum likelihood correspondences.
This study is partially supported by TUBITAK BDP and METU AFP 2000.07.04.01