| 基于平面模板的摄像机非线性优化标定方法 |
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| 引用本文： | 伍尤富.基于平面模板的摄像机非线性优化标定方法[J].四川理工学院学报(自然科学版),2007,20(5):32-34. |
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| 作者姓名： | 伍尤富 |
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| 作者单位： | 广东韶关学院信息工程学院,广东,韶关,512005 |
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| 摘 要： | 摄像机标定方法是计算机视觉应用中的一个重要问题。文中的方法只要平面模板在摄像机前运动,拍摄平面模板在不同位置的图像,提取平面模板在每个位置图像的网格角点,对毎幅图像,就可以确定一个单应性矩阵,首先利用线性求解内外参数,然后对线性结果进行优化,实验结果表明该方法具有较高的精度,是一种简单、有效、实用的标定方法。
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| 关 键 词： | 计算机视觉 像机标定 内部参数 外部参数 |
| 文章编号： | 1673-1549（2007）05-0032-03 |
| 收稿时间： | 2007-01-20 |
Method for Camera Calibration Based on Planar Pattern by a Nonlinear Refinement |
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| WU You-fu.Method for Camera Calibration Based on Planar Pattern by a Nonlinear Refinement[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2007,20(5):32-34. |
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| Authors: | WU You-fu |
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| Institution: | College of Information Engineedng,Shaoguan University, Shaoguan 512005, China |
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| Abstract: | Method for camera calibration is an important problem in the application of computer vision. Camera calibration method with planar pattern only requires the camera to observe a planar pattern shown at a few different orientations, and the images obtained. Corner points are extracted to calibrate the correspondence between the image planar and the planar object, for each view, a homography is established for calibration. The results by a nonlinear refinement demonstrate that the method has a higher accuracy and is an effective and simple calibration method. |
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| Keywords: | computer vision camera calibration intrinsic parameters external parameters |
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