A method for determining camera intrinsic parameters is presented.
提出了一种求解摄像机内参数的方法。
This paper introduces a nonlinear approach for determining the camera intrinsic parameters.
提出了一种求解摄像机内参数的非线性方法。
Under the conditions of radial consistency constraint, the method is approached the camera intrinsic parameters is approached.
在径向一致性约束的条件下，提出求解摄像机内参数的方法。
Neither the camera intrinsic parameters nor knowledge about the scene structures is required in the process. Experimental results indicate that the algorithm proposed is effective and reliable.
试验结果表明，该方法是一种有效的畸变图像校正算法，能够获得到满意的校正结果。
A new algorithm is presented to determine infinite homography matrix and camera intrinsic matrix parameters under one camera motion set from the matched-point sets on two orthogonal planes.
论述由位于正交平面上的特征点对集合复原无穷远单应性矩阵和摄像机内参数的新算法。
A new method of direct calibration for intrinsic parameters of camera is introduced in the paper.
从理论上提出了一种新的直接标定摄像机内部参数的算法。
Additionally, the image mosaicing can be done automatically and directly from images without knowing camera motion and any intrinsic parameters of camera.
另外，图象拼接可以自动并直接从获得的图象的进行，不需要知道摄像机的运动和任何摄像机内部参数。
After the camera rectification intrinsic and extrinsic parameters are obtained based on the relationship between the homograph and absolute conic.
在照相机改变本质和非固有的叁数之后是获得基于同形异义字和绝对的圆锥之间的关系。
Projective invariants are independent of viewpoints, intrinsic and extrinsic camera parameters and common used in computer vision gradually.
投影不变量具有与视点和摄像机内外参数无关等优点，正逐渐成为计算机视觉研究的常用工具。
Different to camera calibration only intrinsic parameters were calibrated and extrinsic ones were provided.
与摄像机标定不同，畸变校正中仅标定内部参数，外部参数作为已知条件。
Camera calibration is a process to acquire camera "s intrinsic and extrinsic parameters."
相机标定是获取相机内外部方位参数的过程。
And we also propose a numerical implementation to correct images with pre-computed intrinsic camera parameters.
同时提出了对畸变图像校正的数值计算方法。
Camera and projector calibration is the key technology in the 3D scanner system. This paper presents a method to compute the intrinsic and external parameters of the camera and the projector.
相机和投影仪定标技术是整个三维扫描仪系统的核心技术，本文给出了求解相机和投影仪内外部参数公式推导，并生成了实验所需的投影图片；
Camera and projector calibration is the key technology in the 3D scanner system. This paper presents a method to compute the intrinsic and external parameters of the camera and the projector.
相机和投影仪定标技术是整个三维扫描仪系统的核心技术，本文给出了求解相机和投影仪内外部参数公式推导，并生成了实验所需的投影图片；
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