Stereo and Eye Movement.

This document describe a method to solve the stereo correspondence using controlled eye or camera movements. These eye-movements essentially supply additional image-frames which can be used to constrain the stereo matching. Because the eye-movements are small, traditional methods of stereo with multiple frame will not work. The authors develop an alternative approach using a systematic analysis to define a probability distribution for the errors. This matching strategy then matches the most probable points first, thereby reducing the ambiguity for the remaining matches this algorithms with several examples. Keywords Error analysis, Artificial intelligence.