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工程科学与技术:2013,45(3):79-84
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用于3维重建的立体图像校正
(四川大学 计算机学院)
Stereo Image Rectification Suitable for 3D Reconstruction
(College of Computer Sci.,Sichuan Univ.)
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投稿时间:2012-12-12    修订日期:2013-02-25
中文摘要: 传统的图像校正方法通过最小化匹配点间的距离作为目标函数引导图像校正,但往往会导致被校正图像出现较大的失真变形,不仅无法为3维(3D)重建提供信息,反而会带来额外的误差。为此提出一种无需相机标定的图像校正方法,有效地保留图像因拍摄方位不同带来的视差,为3D重建提供所需的重要信息。方法首先利用立体图像的对极匹配原理,推导出将2幅图像极线对齐到同一方向的变换,然后在此基础上引入使得图像纵横比保持不变的剪切变换过程,有效地减小校正图像的几何变形。实验表明,该方法是一种鲁棒的图像校正方法。
Abstract:Traditional image rectification mainly aims to minimizing the least-squares distance between the matching points, however, the rectification process may cause great geometric distortion, which not only makes it impossible to offer information for 3-dimensional reconstruction, but also results in extra errors. An improved algorithm was proposed which minimizes the distortion by combining a newly developed projective transform with a properly chosen shearing transform. Firstly, projective transformation was developed to make the polar lines of two images align to the same direction. Secondly, shear transformation was introduced to ensure the image aspect ratio remain constant. Experimental result demonstrated that the proposed method is quite robust and well qualified to the rectification for 3D reconstruction.
文章编号:201201042     中图分类号:    文献标志码:
基金项目:国家自然科学基金资助项目(61173182;61179071);四川省科技厅资助项目(2011JY0124;2012HH0004;2012HH0031;2012GZ0095)
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刘怡光,孙柏林,石勇涛,黄增喜,赵晨晖.用于3维重建的立体图像校正[J].工程科学与技术,2013,45(3):79-84.
Liu Yiguang,Sun Bolin,Shi Yongtao,Huang Zengxi,Zhao Chenhui.Stereo Image Rectification Suitable for 3D Reconstruction[J].Advanced Engineering Sciences,2013,45(3):79-84.
相关附件:   fig04.png