期刊导航

论文摘要

用于3维重建的立体图像校正

Stereo Image Rectification Suitable for 3D Reconstruction

作者:刘怡光(四川大学 计算机学院);孙柏林(四川大学 计算机学院);石勇涛(四川大学 计算机学院);黄增喜(四川大学 计算机学院);赵晨晖(四川大学 计算机学院)

Author:Liu Yiguang(College of Computer Sci.,Sichuan Univ.);Sun Bolin(College of Computer Sci.,Sichuan Univ.);Shi Yongtao(College of Computer Sci.,Sichuan Univ.);Huang Zengxi(College of Computer Sci.,Sichuan Univ.);Zhao Chenhui(College of Computer Sci.,Sichuan Univ.)

收稿日期:2012-12-12          年卷(期)页码:2013,45(3):79-84

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:立体视觉;对极几何;投影校正;基础矩阵;剪切变换

Key words:stereo vision;epipolar geometry;projective rectification;fundamental matrix;shearing transformation

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)

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。

英文摘要

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.

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