Epipolar Rectification with Minimum Perspective Distortion for Oblique Images.
Epipolar Rectification with Minimum Perspective Distortion for Oblique Images.
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DOI：
10.3390/s16111870
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发表时间：
2016-11-07
期刊：
影响因子：
--
通讯作者：
Xiao X
中科院分区：
文献类型：
--
作者：
Liu J;Guo B;Jiang W;Gong W;Xiao X
极极校正对于利用无人机（UAV）图像进行三维建模具有重要意义；然而，现有的方法很少考虑相对于曲面的透视畸变。为此，提出并详细实现了一种斜向图像的校正算法。其基本原理是使校正后的图像相对于参考平面的透视畸变最小化。首先，将该最小化问题表述为由角度变形的正切值构造的代价函数；其次，它提供了很大的灵活性，可以使用不同的参考平面，如屋顶和建筑物的立面，来生成校正图像。根据校正后的像面与原像面之间的二面角，得到合理的尺度。倾斜图像的低质量区域根据畸变大小被裁掉。实验结果表明，该校正方法可以提高匹配精度（半全局密集匹配）。对于屋顶，匹配精度提高了约30%，而对于farade，匹配精度仅提高了1%，而farade并不平行于基线。在另一个设计的实验中，选择的图像与基线平行，图像的匹配精度有很大的提高，平均提高22%。这充分证明了我们提出的算法在校正后的图像上消除透视畸变可以显著提高密集匹配的精度。
Epipolar rectification is of great importance for 3D modeling by using UAV (Unmanned Aerial Vehicle) images; however, the existing methods seldom consider the perspective distortion relative to surface planes. Therefore, an algorithm for the rectification of oblique images is proposed and implemented in detail. The basic principle is to minimize the rectified images’ perspective distortion relative to the reference planes. First, this minimization problem is formulated as a cost function that is constructed by the tangent value of angle deformation; second, it provides a great deal of flexibility on using different reference planes, such as roofs and the façades of buildings, to generate rectified images. Furthermore, a reasonable scale is acquired according to the dihedral angle between the rectified image plane and the original image plane. The low-quality regions of oblique images are cropped out according to the distortion size. Experimental results revealed that the proposed rectification method can result in improved matching precision (Semi-global dense matching). The matching precision is increased by about 30% for roofs and increased by just 1% for façades, while the façades are not parallel to the baseline. In another designed experiment, the selected façades are parallel to the baseline, the matching precision has a great improvement for façades, by an average of 22%. This fully proves our proposed algorithm that elimination of perspective distortion on rectified images can significantly improve the accuracy of dense matching.
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DOI：
10.3390/s16070951
发表时间：
2016-06-23
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Kedzierski M;Delis P
通讯作者：
Delis P
影响因子：
8.1
作者：
Al-Zahrani, A;Ipson, SS;Haigh, JGB
通讯作者：
Haigh, JGB
影响因子：
3.3
作者：
Fusiello, A;Trucco, E;Verri, A
通讯作者：
Verri, A
影响因子：
3.3
作者：
Fusiello, Andrea;Irsara, Luca
通讯作者：
Irsara, Luca
DOI：
10.3390/s16030412
发表时间：
2016-03-22
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Kim JI;Kim T
通讯作者：
Kim T