DocumentCode :
1721571
Title :
A Stereo Self-Adjustment Methodology for Camera Parameter Restoration in Outdoor Environments
Author :
Masafumi, Nakagawa ; Yoshihiro, Kawai ; Fumiaki, Tomita
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba
fYear :
2008
Firstpage :
428
Lastpage :
435
Abstract :
We propose a stereo camera self-adjustment methodology based on a correlation algorithm. We focus on stereo cameras in vision systems for vehicles and unmanned aerial vehicles. We therefore focus on changes of vergence angle. Our approach uses the following methodology: (1) feature detection using an edge density image, (2) stereo matching to find the lost camera parameters, and (3) a self-adjustment procedure. We have confirmed that a combination of these procedures recovers the camera parameters by using the textured features typical of outdoor environments, even if parameters are lost because of a change of vergence angle.
Keywords :
correlation methods; edge detection; feature extraction; image matching; image restoration; image texture; remotely operated vehicles; stereo image processing; camera parameter restoration; correlation algorithm; edge density image; feature detection; stereo cameras; stereo matching; stereo self-adjustment methodology; textured features; unmanned aerial vehicles; vision systems; Calibration; Computer applications; Digital cameras; Digital images; Image edge detection; Image restoration; Image segmentation; Machine vision; Parameter estimation; Unmanned aerial vehicles; Unmanned Aerial Vehicles; camera parameter restoration; feature detection; self-adjustment; self-calibration; stereo matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location :
Canberra, ACT
Print_ISBN :
978-0-7695-3456-5
Type :
conf
DOI :
10.1109/DICTA.2008.103
Filename :
4700053
Link To Document :
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