A linear approach for camera parameter calibration is proposed.
提出了一种线性求解摄像机内外参数的方法。
To effectively realize the camera calibration on a position topography measurement, a multi-camera parallel calibration method is proposed based on a camera intrinsic parameter model.
针对阵地地貌测量重构中的相机参数标定问题，基于相机的内参数模型提出了一种多相机并联阵地地貌测量标定方法。
A linear method for camera parameter calibration is studied by the mathematical model of camera on the basis of projective theory.
利用透镜成像理论建立摄像机数学模型，提出了一种线性求解摄像机内外参数的方法。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
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