Recovering Local Surface Structure through Local Phase Difference Measurements

Previous work has demonstrated that the task of recovering local disparity measurements can be reduced to measuring the local phase difference between bandpass signals extracted from the left and right images. These earlier techniques were presented as the first simple stages of a more complex stereopsis algorithm. Various local phase difference measurement techniques are examined and a new technique based upon normalized crosscorrelation is presented. A more complete stereopsis algorithm based upon this technique capable of recovering local surface structure from raw image measurements is described. Results obtained with the algorithm are shown on random dot stereopairs, standard stereopairs from the existing literature, and on a calibrated stereopair for which the ground truth is known.