关键词: 相机定标, 非线性优化模型, 立体视觉

Abstract: By constructing the non-linear model，classical digital camera calibration method is reinforced.And the problem of digital camera exact calibration solved depends on fewer sample size data.First，direct linear transform model is used to get the projection matrix.Then inside and outside parameters of digital camera are decomposed by the restraint condition[m3=1].These estimates are fed to the nonlinear optimizer as initial guess for the calibration parameters.The optimal solutions of objective function J=∑pi-p(A,k1,k2,R,ti,Pi)²are solved，by the restraint conditions h^T(A^-1)^TA^-₁h₂=0 and h^T1(A^-1)TA-1h₁=h^T2(A^-1)^TA^-1h₂Consequently，digital camera exact calibration is implemented.The result of single sample data indicates that a high accuracy is obtained by the algorithm presented in this paper.

Key words: camera calibration, non-linear optimal model, stereovision