DocumentCode :
508182
Title :
Two Cameras Vision Model for the 3D Shape Recovery
Author :
Song, Limei ; Luo, Jing ; Sun, Baoshan ; Wen, YuHua
Author_Institution :
Comput. Technic & Automatization Coll., TianJin Polytech. Univ., Tianjin, China
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
246
Lastpage :
250
Abstract :
One camera can get the image of the object, but it is difficult to get the precision three dimension shape of the object. Two cameras can get the precision dimension of the object just like human two eyes. The two camera vision model is built in this paper. The two cameras are placed to look common area. After the two cameras are calibrated, they can get the precision 3D coordinate of the object. The merits of the two camera vision system are that it can get the real exact shape of the object with fast speed. And it can be extended to a lot of 3D measurement system.
Keywords :
cameras; computer vision; 3D coordinate; 3D measurement system; 3D shape recovery; camera vision model; rotation matrix; translation matrix; Calibration; Cameras; Computer vision; Coordinate measuring machines; Current measurement; Gratings; Machine vision; Motion measurement; Phase measurement; Shape measurement; 3D measurement; rotation matrix; translation matrix; vision model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.539
Filename :
5365863
Link To Document :
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