A measurement method of attitude angles based on artificial labeling feature points

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.