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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 1352-1355
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.1352
• Online since: December 2012
• Authors: Jing Zhou, Yin Han Gao, Chang Yin Liu, Ji Zhi Li
• Keywords: Optical Feature Point, Total Least Squares, Visual Measurement

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