Abstract
In order to solve the pseudo stereoscopic problem in the auto-stereoscopic display, a program is proposed to automatically determine the mapping relationship between the human eyes position and the exit pupil modes. This scheme enables the best viewing position to move accurately with the human eyes, and the stereoscopic viewing range can be continuously extended to the entire viewable range of the display. In this paper, a monocular camera and a black-and-white exit pupil fringe are used to detect the above mapping relationship. Innovatively, an automatic calibration method based on horizontal and vertical gray histograms is proposed, and a method based on straight line detection of image edges is proposed for mutual verification. The experimental results show that the proposed method can accurately calculate the slope and the period of the exit pupil and derive the complete mapping relationship. It is more accurate and automated than the traditional way. When the exit pupil mode is adjusted, the image brightness change rate is less than 3.3%, which can basically realize seamless switching.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wu, F., Lv, G.J., Deng, H., Zhao, B.C., Wang, Q.H.: Dual-view integral imaging three-dimensional display using polarized glasses. Appl. Opt. 57(6), 1447–1449 (2018)
Rohwer, K., Jorke, H., Neubert, T., Vergöhl, M.: Optische Interferenzfilter auf Polymerfolien: Spektrale Kanaltrennung in der 3D-Projektion nach dem Wellenlängenmultiplex-Verfahren. Vak. Forsch. Prax. 30(1), 30–34 (2018)
Shi, L., Srivastava, A.K., Tam, A.M.W., Chigrinov, V.G., Kwok, H.: S: 2D–3D switchable display based on a passive polymeric lenticular lens array and electrically suppressed ferroelectric liquid crystal. Opt. Lett. 42(17), 3435–3438 (2017)
Zhuang, Z., et al.: Addressable spatial light modulators for eye-tracking autostereoscopic three-dimensional display using a scanning laser. Appl. Optics 57(16), 4457–4466 (2018).
Lee, S., et al.: Autostereoscopic 3D display using directional subpixel rendering. Opt. Express 26(16), 20233 (2018)
Qin, K.H., Luo, J.L.: Autostereoscopic display technology and its development. J. Image Graphics A 14(10), 1934–1941 (2009)
Lin, D.K., Liang, W.T., Liang, H.W., et al: Study on spatiotemporal seamless naked eye 3D display technology based on face tracking. Television Technol. 39(05), 70- 73+77 (2015)
Jin, S.W., Yang, Q., Li, J.J.: Stereoscopic video combining image fusion algorithm and human eye tracking. Comput. Syst. Appl. 09, 112–117 (2014)
Li, X.C., Wu, Q.Q., Xiao, B.P., Liu, X.Y., Wang, Y.Q.: High speed and robust infrared-guiding multiuser eye localization system for autostereoscopic display. Appl. Optics 59(14) (2020)
Huang, J.P., Huang, K.C., Wang, Y.Q., et al.: Research on 3D content fusion display technology based on human eye tracking. Electron. Devices 40(6), 1534–1538 (2017)
Zheng, H.B., Shi, H., Du, Y.C., et al.: Fast extraction method of fringe from structured light image with uneven illumination. Comput. Sci. 46(5), 272–278 (2019)
Huang, F.H., Liu, Q.F., Ji, J.F.: Research on the edge detection operator of digital image based on MATLAB. Mech. Eng. Autom. 4, 48–50 (2011)
Matas, J., Galambos, C., Kittler, J.: Robust detection of lines using the progressive probabilistic hough transform. Comput. Vis. Image Underst. 78(1), 119–137 (2000)
Diao, Y., Wu, C., Luo, H., et al.: Straight line detection optimization algorithm based on improved probability Hough transform. Acta Optica Sinica 38(8), 0815016 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, M., Li, X., Xiao, B., Liu, J., Wang, Y. (2021). Auto-calibration of Exit Pupils for Autostereoscopic Display with the Eye Tracker. In: Peng, Y., Hu, SM., Gabbouj, M., Zhou, K., Elad, M., Xu, K. (eds) Image and Graphics. ICIG 2021. Lecture Notes in Computer Science(), vol 12890. Springer, Cham. https://doi.org/10.1007/978-3-030-87361-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-87361-5_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87360-8
Online ISBN: 978-3-030-87361-5
eBook Packages: Computer ScienceComputer Science (R0)