In this study, we propose a method to interpolate missing data that can be attributed to a disparity hole in binocular vision phase matching based on the reliable phase data obtained using a single camera. In the calibration stage, the measurement system only needs to consider the plane phase and height data as reference. Further, the implicit phase-height mapping relation can be established based on the phase and height difference observed with respect to the effective three-dimensional point clouds around the area of the hole and the reference plane, and the missing point clouds are reconstructed and interpolated using the reliable phase data obtained using a single camera. The interpolation of the missing point cloud data of a standard sample denotes a reconstruction accuracy of 0.07 mm. Furthermore, binocular measurement and hole interpolation are conducted using a facial mask and gourd model, and the results denote that the proposed method can appropriately interpolate the missing point cloud data in the occluded areas.