Stereo matching and occlusion detection with integrity and illusion sensitivity

摘要

Occlusion might cause problems in stereo matching, especially when there are narrow objects with large disparity and illusion in the scene. Disparity consistency is introduced to handle these complicate scenes. The advantage of disparity consistency over those existed constraints is the integrity and illusion sensitivity. An algorithm using disparity consistency is provided. With this consistency constraint, the problems in the complex scene can be better solved than with the existed constraints and other methods. The results of experiment on synthetic images and real world images are presented.