A probabilistic relaxation technique for high accuracy disparity estimation
is proposed. The relaxation rule is defined according to the likelihood th
at estimates obey physically meaningful constraints. High accuracy is achie
ved by applying the approach to points inside salient image areas previousl
y approximated by second-order polynomials.