Stereo matching and occlusion detection with integrity and illusion sensitivity

Authors:
Qiuming Luo;Jingli Zhou;Shengsheng Yu;Degui Xiao
Affiliations:
School of Computer Science and Technology, Huazhong University of Science and Technology, 8f, Huagong Keji Chanye Building 243# Luoyu Road, Wuhan, Hubei 430074, PR China;School of Computer Science and Technology, Huazhong University of Science and Technology, 8f, Huagong Keji Chanye Building 243# Luoyu Road, Wuhan, Hubei 430074, PR China;School of Computer Science and Technology, Huazhong University of Science and Technology, 8f, Huagong Keji Chanye Building 243# Luoyu Road, Wuhan, Hubei 430074, PR China;School of Computer Science and Technology, Huazhong University of Science and Technology, 8f, Huagong Keji Chanye Building 243# Luoyu Road, Wuhan, Hubei 430074, PR China
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

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.