TY - GEN
T1 - A stereo self-adjustment methodology for camera parameter restoration in outdoor environments
AU - Masafumi, Nakagawa
AU - Yoshihiro, Kawai
AU - Fumiaki, Tomita
PY - 2008/12/1
Y1 - 2008/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=67649127049&partnerID=8YFLogxK
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U2 - 10.1109/DICTA.2008.103
DO - 10.1109/DICTA.2008.103
M3 - Conference contribution
AN - SCOPUS:67649127049
SN - 9780769534565
T3 - Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008
SP - 428
EP - 435
BT - Proceedings - Digital Image Computing
T2 - Digital Image Computing: Techniques and Applications, DICTA 2008
Y2 - 1 December 2008 through 3 December 2008
ER -