Application of the Sanger operator with lateral connection in camera calibration

作者：Ge, Dong-Yuan^*; Yao, Xi-Fan

来源：Journal of Optoelectronics - Laser, 2010, 21(11): 1720-1724.

• Camera calibration
• Eigen-value
• Eigenvectors
• Minor components
• Projection matrix
• Sanger neural network

In order to obtain camera's projection matrix, while it is calibrated, the sum of square distances from vector coordinates combined with sample points to the hyperplane decided by projective matrix is taken as the objective function. Then a Sanger neural network with lateral connection is designed, where the self-adaptive minor component extracting method is adopted. And taking the eigenvector of minimum eigenvalues as fitted coefficients of the hyperplane, the projective matrix is obtained and the camera is calibrated. At the same time the mean square of image errors between projective point coordinates from camera model and the actual image results is taken as the performance index of camera calibration to analyze the precision. The proposed method is a novel application of the self-adaptive Sanger operator in camera calibration for experiment.

• 出版日期2010-11
• 单位华南理工大学