The visual correspondence problem is a major issue in computer vision. Correlation is a common tool for this problem. Most classical correlation methods fail near the disparity discontinuities, which occur at the boundaries of objects. In this paper, a {\em partial correlation} technique is proposed to solve this problem. Robust location methods are used to perform this partial correlation. Comparisons are made with other techniques and experimental results validate the approach.