Stereo disparity analysis using phase correlation

Abstract

The determination of disparity in a stereo pair of images is a key factor in obtaining three-dimensional information about a scene. The authors describe how phase correlation can be used to aid stereo disparity analysis. An algorithm has been developed that identifies high-confidence candidate disparity vectors which are evaluated blockwise over the image. The vectors can be used as input to a subsequent area-matching process applied element by element.