摄像机标定中一种约束条件选择方法

目前在摄像机标定中,普遍采用最小二乘法,约束条件选择对计算精度有很大影响.对以往的约束条件选择进行了分析和总结,提出了一种新的约束条件选择方法.经过数学推导得到计算公式.解算过程避免了解非线性方程.它充分考虑了参数之间的约束关系,利用正交矩阵保证Frobenius范数不变性来选择约束条件.使误差能按参数之间约束关系进行分配,从而能提高摄像机标定精度.

Constraint condition selection method in camera calibration

WT5BZ]At present, least squares algorithm is generally used to calibrate cameras. Constraint condition selections have a great effect on estimating precision. On the basis of analysis to former selections of constraint condition, a new constraint condition selection method is rpesented. Computing formulas of parameters are got after mathematical derivation. The algorithm avoids solving nonlinear equation. After constraint relations between parameters are observed and studied, a constraint condition is selected using the property that orthogonal matrix ensures Frobenius norm to be unvarying. Errors are distributed in the light of constraint relations between parameters, so precision of camera calibration can be improved. [WT5HZ]