Not using phase-difference methods or phase correlation methods which are popular to gain the disparity map in phase-based stereo

the approach presented in this paper directly uses the fact that the phase structures are equal at the correspondence locations.A cost function is defined to measure the matching error between point

x

in the left view and the one shifted by the assumed disparity value in the right view as the aggregation of the phase differences between their local windows.To complete a globally optimized search process

dynamic programming technique is employed to find the disparity results which minimize the differences between the local structures in two views.In addition

this approach automatically tackles the singularity problem and the occlusion detection problem in the optimal disparity search process

instead of treating them as secondary processes that are postponed until matc

hing is completed.The experiment results demonstrate that this approach has good applicability.