• Laser & Optoelectronics Progress
  • Vol. 57, Issue 24, 241504 (2020)
Wenyi Chen1, Jie Xu1、*, Hui Yang1, Xiaobao Yang2, and Xiaoqiang Xi2
Author Affiliations
  • 1Institute of Internet of Things and Integration of IT Application and Industrialization, Xi'an University of Posts & Telecommunications, Xi'an, Shannxi 710061, China;
  • 2College of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, Shannxi 710121, China;
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    DOI: 10.3788/LOP57.241504 Cite this Article Set citation alerts
    Wenyi Chen, Jie Xu, Hui Yang, Xiaobao Yang, Xiaoqiang Xi. Distortion Correction of Single Image Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241504 Copy Citation Text show less
    References

    [1] Bai F Z[M]. Fundamentals of visual measurement technology, 15-24(2013).

    [2] Quan Y M, Qin Z B, Li W S et al. Multi-camera calibration of one-dimensional calibration objects based on normalization algorithm[J]. Acta Optica Sinica, 39, 0415001(2019).

    [3] Tsai R. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J]. IEEE Journal on Robotics and Automation, 3, 323-344(1987).

    [4] Zhang Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334(2000).

    [5] Yang Q, Li T W, Huang Q et al. Lens distortion correction method based on linear projection features[J]. Computer Measurement & Control, 26, 264-268(2018).

    [6] Wang A Q, Qiu T S, Shao L T. A simple method of radial distortion correction with centre of distortion estimation[J]. Journal of Mathematical Imaging and Vision, 35, 165-172(2009).

    [7] Ma S D. A self-calibration technique for active visionsystems[J]. IEEE Transactions on Robotics and Automation, 12, 114-120(1996).

    [8] Pei M T, Jia Y D. Linear self-calibration technique based on active vision[J]. Transactions of Beijing Institute of Technology, 26, 27-30, 35(2006).

    [9] Qi Z S, Wang Z, Huang J H et al. Research on system calibration of structured-light measurement based on neural network[J]. Acta Photonica Sinica, 45, 0512002(2016).

    [10] Xiang P, Zhou B, Zhu Y K et al. Camera calibration based on deep neural network in complex environments[J]. Laser & Optoelectronics Progress, 56, 111505(2019).

    [11] Jiang X K, Fan Y Q, Wang W. BP neural network camera calibration based on particle swarm optimization genetic algorithm[J]. Journal of Frontiers of Computer Science & Technology, 8, 1254-1262(2014).

    [12] Workman S, Greenwell C, Zhai M H et al. DEEPFOCAL: a method for direct focal length estimation. [C]∥2015 IEEE International Conference on Image Processing (ICIP), September 27-30, 2015, Quebec City, Canada. New York: IEEE, 1369-1373(2015).

    [13] Hold-Geoffroy Y, Sunkavalli K, Eisenmann J et al. A perceptual measure for deep single image camera calibration. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2354-2363(2018).

    [14] Li X Y, Zhang B, Sander P V et al. Blind geometric distortion correction on images through deep learning. [C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 4850-4859(2019).

    [15] Alemán-Flores M, Alvarez L, Gomez L et al. Line detection in images showing significant lens distortion and application to distortion correction[J]. Pattern Recognition Letters, 36, 261-271(2014).

    [16] Deng J, Dong W, Socher R et al. ImageNet:a large-scale hierarchical image database. [C]∥2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA. New York: IEEE, 248-255(2009).

    [17] Yu J, Chen C, Gao N et al. Camera calibration based on phase target[J]. Laser & Optoelectronics Progress, 55, 111203(2018).

    [18] Sun Q, Wang X Y, Xu J P et al. Camera self-calibration with lens distortion[J]. Optik- International Journal for Light and Electron Optics, 127, 4506-4513(2016). http://www.sciencedirect.com/science/article/pii/S0030402616001728

    [19] Brown D C. Close-range camera calibration[J]. Photogrammetric Engineering & Remote Sensing, 37, 855-866(1971).

    [20] Tsai R. An efficient and accurate camera calibration technique for 3D machine vision. [C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 22-26, 1986, Miami, FL, USA. New York: IEEE, 364-374(1986).

    [21] López M, Marí R, Gargallo P et al. Deep single image camera calibration with radial distortion. [C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 11809-11817(2019).

    [22] Pan S J, Yang Q. A survey on transfer learning[J]. IEEE Transactions on Knowledge and Data Engineering, 22, 1345-1359(2010).

    [23] Krizhevsky A, Sutskever I, Hinton G E et al. ImageNet classification with deep convolutional neural networks. [C]∥Advances in Neural Information Processing Systems 25(NIPS 2012), December 3-6, 2012, Lake Tahoe, Nevada, United States. Canada: NIPS, 141, 1097-1105(2012).

    Wenyi Chen, Jie Xu, Hui Yang, Xiaobao Yang, Xiaoqiang Xi. Distortion Correction of Single Image Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241504
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