TY - GEN
T1 - A measurement method of attitude angles based on artificial labeling feature points
AU - Jin, Feng
AU - Liu, Jun
AU - Gao, Peng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/3/2
Y1 - 2015/3/2
N2 - According to the demand of measurement of attitude angles in the industrial production and range test, a method using manually labeled feature points is studied based on image processing technology. A measurement method of attitude angles using binocular stereo vision system is proposed. Using infrared LED as the object feature points labeled artificially, the axis of the two-dimensional image can be fitted by the feature points. Then the space equation of the target axis can be extracted through 3D linear reconstruction principles, so that the pitching angle and yaw angle of the target can be worked out. Experimental results indicate that the principle of the method is correct, the operation of the method is simple and the result is highly accurate.
AB - According to the demand of measurement of attitude angles in the industrial production and range test, a method using manually labeled feature points is studied based on image processing technology. A measurement method of attitude angles using binocular stereo vision system is proposed. Using infrared LED as the object feature points labeled artificially, the axis of the two-dimensional image can be fitted by the feature points. Then the space equation of the target axis can be extracted through 3D linear reconstruction principles, so that the pitching angle and yaw angle of the target can be worked out. Experimental results indicate that the principle of the method is correct, the operation of the method is simple and the result is highly accurate.
KW - 3D linear reconstruction
KW - Artificial labeling feature points
KW - Attitude angles
KW - Binocular stereo vision system
KW - Image processing
UR - http://www.scopus.com/inward/record.url?scp=84932087444&partnerID=8YFLogxK
U2 - 10.1109/WCICA.2014.7053594
DO - 10.1109/WCICA.2014.7053594
M3 - Conference contribution
AN - SCOPUS:84932087444
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 5164
EP - 5168
BT - Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Y2 - 29 June 2014 through 4 July 2014
ER -