DocumentCode
2195717
Title
Trinocular Cooperative Stereo Vision and Occlusion Detection
Author
Mingxiang, Li ; Yunde, Jia
Author_Institution
Sch. of Comput. Sci. & Eng., Beijing Inst. of Technol., Beijing
fYear
2006
fDate
17-20 Dec. 2006
Firstpage
1129
Lastpage
1133
Abstract
In this paper, we present a cooperative stereo vision algorithm with three cameras for dense disparity mapping and occlusion detection. Based on nonlinear iteration and multiple cameras, the disparity maps are smooth and the object boundaries are accurate. Occlusions for each stereo pair are detected effectively by examining the iterative inhibition and magnification of the matching evaluation.
Keywords
cameras; feature extraction; iterative methods; stereo image processing; dense disparity mapping; disparity maps; multiple cameras; nonlinear iteration; occlusion detection; trinocular cooperative stereo vision; Cameras; Computer vision; Costs; Dynamic programming; Iterative algorithms; Optimization methods; Robot kinematics; Stereo vision; Transforms; Transmission line matrix methods; Cooperative Matching; Multiple Cameras; Occlusion Detection; Stereo Vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics, 2006. ROBIO '06. IEEE International Conference on
Conference_Location
Kunming
Print_ISBN
1-4244-0570-X
Electronic_ISBN
1-4244-0571-8
Type
conf
DOI
10.1109/ROBIO.2006.340087
Filename
4142024
Link To Document