A Correction Method of Fish-Eye Lens Based on Projective Reconstruction

2014 ◽  
Vol 577 ◽  
pp. 741-744
Author(s):  
Jun Chao Zhu ◽  
Li Wan ◽  
Na Liu ◽  
Bao Feng Zhang

Fish-eye lens is a special wide angle lens shooting all of the information within 185 degrees at the same time, but the image taken by it cause distortion. In order to fit for people's visual habits, the images need a correction. This article proposes a correction method of fish-eye lens based on projective reconstruction and verified the effectiveness of the method by the experiment.

Author(s):  
H. Hastedt ◽  
T. Ekkel ◽  
T. Luhmann

The application of light-weight cameras in UAV photogrammetry is required due to restrictions in payload. In general, consumer cameras with normal lens type are applied to a UAV system. The availability of action cameras, like the GoPro Hero4 Black, including a wide-angle lens (fish-eye lens) offers new perspectives in UAV projects. With these investigations, different calibration procedures for fish-eye lenses are evaluated in order to quantify their accuracy potential in UAV photogrammetry. Herewith the GoPro Hero4 is evaluated using different acquisition modes. It is investigated to which extent the standard calibration approaches in OpenCV or Agisoft PhotoScan/Lens can be applied to the evaluation processes in UAV photogrammetry. Therefore different calibration setups and processing procedures are assessed and discussed. Additionally a pre-correction of the initial distortion by GoPro Studio and its application to the photogrammetric purposes will be evaluated. An experimental setup with a set of control points and a prospective flight scenario is chosen to evaluate the processing results using Agisoft PhotoScan. Herewith it is analysed to which extent a pre-calibration and pre-correction of a GoPro Hero4 will reinforce the reliability and accuracy of a flight scenario.


Author(s):  
H. Hastedt ◽  
T. Ekkel ◽  
T. Luhmann

The application of light-weight cameras in UAV photogrammetry is required due to restrictions in payload. In general, consumer cameras with normal lens type are applied to a UAV system. The availability of action cameras, like the GoPro Hero4 Black, including a wide-angle lens (fish-eye lens) offers new perspectives in UAV projects. With these investigations, different calibration procedures for fish-eye lenses are evaluated in order to quantify their accuracy potential in UAV photogrammetry. Herewith the GoPro Hero4 is evaluated using different acquisition modes. It is investigated to which extent the standard calibration approaches in OpenCV or Agisoft PhotoScan/Lens can be applied to the evaluation processes in UAV photogrammetry. Therefore different calibration setups and processing procedures are assessed and discussed. Additionally a pre-correction of the initial distortion by GoPro Studio and its application to the photogrammetric purposes will be evaluated. An experimental setup with a set of control points and a prospective flight scenario is chosen to evaluate the processing results using Agisoft PhotoScan. Herewith it is analysed to which extent a pre-calibration and pre-correction of a GoPro Hero4 will reinforce the reliability and accuracy of a flight scenario.


2021 ◽  
Author(s):  
Yong Liu ◽  
Hongda Lu ◽  
Zhipeng Liu ◽  
Yanbo Zhang ◽  
Ke Pang
Keyword(s):  
Eye Lens ◽  

2013 ◽  
Vol 467 ◽  
pp. 323-326
Author(s):  
Jong Eun Ha

Fish-eye lens is used in various applications due to wide coverage of scene. In particular, it can be effectively used in visual surveillance and surround monitoring in automotive. It has large radial distortion compared to the conventional lens with small field of view. In this paper, we present comparison results for the calibration of fish-eye lens. We compare two algorithms where one is available in OpenCV [ and the other is Devernay and Faugeras [. Also, we present experimental result according to the number of calibration points, initialization value. We evaluate the accuracy of calibration thorough 3D reconstruction by stereo system. It can give more reliable evaluation than using reprojection eror by single camera.


2014 ◽  
Vol 310 ◽  
pp. 173-178 ◽  
Author(s):  
Long Wang ◽  
Hongjun Dong ◽  
Weian Zhang ◽  
Xueju Shen
Keyword(s):  
Eye Lens ◽  

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