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A study of distortion correction algorithms based on aspheric fisheye lens design

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A design method of aspheric fisheye lens has been proposed in this paper, based on the requirements of automobile surround view system. The study has designed a kind of ultra-wide-angle fisheye lens, which only consists of a spherical glass lens and three aspherical plastic lenses. The maximum diameter of imaging aperture is 15. 3 mm; the working distance behind is 2.158 mm; the total length of system is 11.44 mm; the focal length is 0.97 mm; the viewing angle is 210°, and the modulation transfer function (MTF) curve is 0.35 at 60 lp/mm. Furthermore, a kind of a distortion correction algorithm for fisheye lens has been created, which calculates the position of the ideal image point with the actual image point and the obtained distortion curve and distortion model. The algorithm can correct the distorted image taken by a fisheye lens to an image without distortion, which is suitable for the human eye. The algorithm, which is simple and effective, has been applied to the automobile surround view system. It has been verified to be accurate and reasonable, after the comparison is made between the real image taken by a fisheye lens and the corrected image.
Czasopismo
Rocznik
Strony
579--592
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
  • College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, P.R. China
  • College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, P.R. China
autor
  • Zhong Ying Optical Co. Ltd., Xinlun Village Section, Pan Zhong Road, Min Zhong Town, Zhongshan City, Guangdong 528441, P.R. China
autor
  • Zhong Ying Optical Co. Ltd., Xinlun Village Section, Pan Zhong Road, Min Zhong Town, Zhongshan City, Guangdong 528441, P.R. China
autor
  • Zhong Ying Optical Co. Ltd., Xinlun Village Section, Pan Zhong Road, Min Zhong Town, Zhongshan City, Guangdong 528441, P.R. China
Bibliografia
  • [1] YANG X., GAO X., SONG B., WANG N., YANG D., ASI aurora search: an attempt of intelligent image processing for circular fisheye lens, Optics Express 26(7), 2018, pp. 7985–8000, DOI:10.1364/OE.26.007985.
  • [2] WU H., ZHAO X., LI T., Design of refractive/diffractive IR fish-eye optical system, Acta Photonica Sinica 39(8), 2010, pp. 1533–1536, DOI:10.3788/gzxb20103908.1533.
  • [3] YANG S.-W., HUANG K.-L., CHANG R.-S., Design of fisheye lens, Applied Industrial Optics: Spectroscopy, Imaging and Metrology, 2016, JT3A.57, DOI:10.1364/3D.2016.JT3A.57.
  • [4] KWEON G.-I., CHOI Y.-H., LAIKIN M., Fisheye lens for image processing applications, Journal of the Optical Society of Korea 12(2), 2008, pp. 79–87.
  • [5] CHEN CHUN-YEN, YANG SHU-YUN, U.S. Patent: 20170307851, 2017.
  • [6] PARK GI SUNG, LEE JONG JIN, KIM, HYUNG SOO, U.S. Patent: 20180172960, 2018.
  • [7] HARTLEY R., KANG S.B., Parameter-free radial distortion correction with center of distortion estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence 29(8), 2007, pp. 1309–1321, DOI:10.1109/TPAMI.2007.1147.
  • [8] LI W., LI Y.F., Single-camera panoramic stereo imaging system with a fisheye lens and a convex mirror, Optics Express 19(7), 2011, pp. 5855–5867, DOI:10.1364/OE.19.005855.
  • [9] POULIN-GIRARD A.-S., THIBAULT S., Optical testing of panoramic lenses, Optical Engineering 51(5), 2012, article 053603, DOI:10.1117/1.OE.51.5.053603.
  • [10] SHEREMET’EVA T.A., FILIPPOV G.N. MALOV A.M., The transformation of images using similarity to a standard and its application, Journal of Optical Technology 77(3), 2010, pp. 194–197, DOI:10.1364/JOT.77.000194.
  • [11] WEN CANHONG, YANG QIANG, LUO FEI, et al., A correction method of fish eye lens based on elliptic paraboloid perspective projection constraints, College Mathematics, 26(3), 2010, pp. 192–195.
  • [12] HUGHES C., MCFEELY R., DENNY P., GLAVIN M., JONES E., Equidistant ( f-θ) fish-eye perspective with application in distortion center estimation, Image and Vision Computing 28(3), 2010, pp. 538–551, DOI:10.1016/j.imavis.2009.09.001.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cb0f3909-0b03-4877-af5b-ec6004aab728
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