Position Estimation of Single Camera Visual System Based on Total Least Squares Algorithm

The position estimation of optical feature points of visual system is the focus factor of the precision of system. For this problem, to present the Total Least Squares Algorithm. Firstly, set up the measurement coordinate system and 3D model between optical feature points, image points and the position of camera according to the position relation; Second, build the matrix equations between optical feature points and image points; Then apply in the total least squares to have an optimization calculation; Finally apply in the coordinate measuring machining to have a simulation comparison experiment, the results indicate that the standard tolerance of attitude coordinate calculated by total least squares is 0.043mm, it validates the effectiveness; Compare with the traditional method based on three points perspective theory, measure the standard gauge of 500mm; the standard tolerance of traditional measurement system is 0.0641mm, the standard tolerance of Total Least Squares Algorithm is 0.0593mm; The experiment proves the Total Least Squares Algorithm is effective and has high precision.