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Sensors 2016, 16(11), 1870; doi:10.3390/s16111870

Epipolar Rectification with Minimum Perspective Distortion for Oblique Images

1
School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Department of Geographical Sciences, University of Maryland, 2181 Samuel J. LeFrak Hall, 7251 Preinkert Drive, College Park, MD 20742, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Felipe Gonzalez Toro and Antonios Tsourdos
Received: 14 September 2016 / Revised: 1 November 2016 / Accepted: 3 November 2016 / Published: 7 November 2016
(This article belongs to the Special Issue UAV-Based Remote Sensing)
View Full-Text   |   Download PDF [19253 KB, uploaded 7 November 2016]   |  

Abstract

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. View Full-Text
Keywords: epipolar rectification; oblique images; UAV images; minimum perspective distortion; 3D reconstruction epipolar rectification; oblique images; UAV images; minimum perspective distortion; 3D reconstruction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Liu, J.; Guo, B.; Jiang, W.; Gong, W.; Xiao, X. Epipolar Rectification with Minimum Perspective Distortion for Oblique Images. Sensors 2016, 16, 1870.

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