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。
It is significant to research on mobile robot vision system and the related technology, such as camera calibration, multi-sensor fusion, robot navigation and control theory.
研究移动机器人视觉系统及其摄像机标定、多传感器信息融合、导航控制理论与方法具有非常重要的意义。
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。
The method is proved as high speed, high accuracy and robust after experiment, so it meets the need of multi-camera fast calibration in large-scale vision system.
经验证该方法标定速度快、精度较高、算法健壮，适用于大型视觉系统多摄像机的快速标定。
In geometrical calibration for multi-projector display wall, there need to use digital camera to capture image information.
在多投影仪曲面显示墙几何校正中需要用数码相机捕获图像反馈信息。
Vision processing system based on single-camera can avoid the error that comes from calibration error brought in multi-camera system. So it has more advantage for precision promotion.
基于单摄像机的视觉对中系统消除了多摄像机视觉对中系统中的摄像机标定误差，在提高贴片机精度上有较大的优势。
Vision processing system based on single-camera can avoid the error that comes from calibration error brought in multi-camera system. So it has more advantage for precision promotion.
基于单摄像机的视觉对中系统消除了多摄像机视觉对中系统中的摄像机标定误差，在提高贴片机精度上有较大的优势。
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