Stereovision depth analysis by two-dimensional motion charge memories

Up to date several strategies of how to retrieve depth information from a sequence of images have been described. In this paper a method that turns around the symbiosis existing between stereovision and motion is introduced. The central idea behind our approach is to transpose the spatially-defined problem of disparity estimation into the spatial-temporal domain. Motion is analyzed in the original sequences by means of the so-called permanency effect and from the resulting two-dimensional motion charge maps the disparities are calculated. This is an important contribution to the traditional stereovision depth analysis, where disparity is gotten from the image luminescence. In our approach, disparity is studied from a motion-based persistency charge measure.