人工智能
计算机视觉
校准
计算机科学
平面的
摄像机自动校准
失真(音乐)
摄像机切除
单摄像机
镜头(地质)
非线性系统
计算机图形学(图像)
数学
光学
物理
放大器
带宽(计算)
统计
量子力学
计算机网络
摘要
We propose a flexible technique to easily calibrate a camera. It only requires the camera to observe a planar pattern shown at a few (at least two) different orientations. Either the camera or the planar pattern can be freely moved. The motion need not be known. Radial lens distortion is modeled. The proposed procedure consists of a closed-form solution, followed by a nonlinear refinement based on the maximum likelihood criterion. Both computer simulation and real data have been used to test the proposed technique and very good results have been obtained. Compared with classical techniques which use expensive equipment such as two or three orthogonal planes, the proposed technique is easy to use and flexible. It advances 3D computer vision one more step from laboratory environments to real world use.
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