[1]金野,高珏,王磊,等. 基于特征值最小化方法的鱼眼镜头校正算法[J].计算机技术与发展,2015,25(07):35-40.
　JIN Ye,GAO Jue,WANG Lei,et al. Fisheye Lens Rectification Algorithm Based on Eigenvalue Minimization Method[J].,2015,25(07):35-40.
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 基于特征值最小化方法的鱼眼镜头校正算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年07期
页码:
35-40
栏目:
智能、算法、系统工程
出版日期:
2015-07-10

文章信息/Info

Title:
 Fisheye Lens Rectification Algorithm Based on Eigenvalue Minimization Method
文章编号:
1673-629X（2015)07-0035-06
作者:
 金野; 高珏; 王磊; 许华虎
 上海大学
Author(s):
 JIN Ye; GAO Jue; WANG Lei; XU Hua-hu
关键词:
 ; 鱼眼镜头; 图像校正; 特征值最小化; 透视投影校正
Keywords:
 ; fisheye lens; image correction; eigenvalue minimization; perspective rectification
分类号:
TP301.6
文献标志码:
A
摘要:
 在不添加任何辅助条件增加校正复杂度的情况下，通过添加线性约束条件来实现鱼眼图像的校正中，仅添加平行和共线约束的鱼眼图像校正结果有时会出现校正错误而导致最终校正图像的变形。文中在添加共线和平行约束的前提下，添加正交约束，并用特征值最小化来优化校正过程。实验结果表明，该方法最终解决了缺少正交约束条件下出现的校正图像变形问题并提高了校正的效率。文中得出了在校正过程中使用特征值最小化方法的有效性，并着重强调了正交约束在添加线性约束鱼眼图像校正中的重要性。
Abstract:
 Under the conditions of without adding any auxiliary calibration information to fisheye calibration,only adding parallel and col-linear constraints to fish-eye image may lead to final correction error and get the deformation image. In order to solve this problem,under the premise of adding collinear and parallel constraint,impose orthogonal constraints and optimize it by eigenvalue minimization. Results show that this method finally solves the emergence of error correction problems and improve the correcting efficiency. Raise the effective-ness of using eigenvalue minimization method in correction processing,and highlight the importance of orthogonal constraints add to fish-eye image correction.

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更新日期/Last Update: 2015-09-06