Integrated Multi-view 3D Image Capture and Motion Parallax 3D Display System

  • Madan Lal F16ES, Department of Electronic Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Shadi Khan Baloch Assistant Professor, Department of Mechantronics Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Shoaib Rehman Soomro Electronic Engineering Department, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Keywords: Multi-view Imaging, 3D Imaging, Motion Parallax Display, Image Rendering

Abstract

We propose an integrated 3D image capture and display system using a transversely moving camera, regular 2D display screen and user tracking that can facilitate the multi-view capture of a real scene or object and display the captured perspective views in 3D. The motion parallax 3D technique is used to capture the depth information of the object and display the corresponding views to the user using head tracking. The system is composed of two parts, the first part consists of a horizontally moving camera interfaced with a customized camera control and capture application. The second part consist of a regular LCD screen combined with web camera and user tracking application. The 3D multi-view images captured through the imaging setup are relayed to the display based on the user location and corresponding view is dynamically displayed on the screen based on the viewing angle of the user with respect to the screen. The developed prototype system provides the multi-view capture of 60 views with the step size of 1 cm and greater than 40˚ field-of-view overlap. The display system relays 60 views providing the viewing angle coverage of ±35˚ where the angular difference between two views is 1.2˚.

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References

B. Rogers and M. Graham, Similarities between motion parallax and stereopsis in human depth perception, Vision Res., vol. 22, no. 2, pp. 261–270, 1982. DOI: https://doi.org/10.1016/0042-6989(82)90126-2

J. Geng, Three-dimensional display technologies, Adv. Opt. Photonics, vol. 5, no. 4, pp. 456–535, 2013. DOI: https://doi.org/10.1364/AOP.5.000456

B. Rogers and M. Graham, Motion parallax as an independent cue for depth perception, Perception, vol. 8, no. 2, pp. 125–134, 1979. DOI: https://doi.org/10.1068/p080125

R. Kumar, Smartphone 3D Camera Market by Technology, 2018. [Online]. Available: https://www.alliedmarketresearch.com/smartphone-3d-camera-market. [Accessed: 02-Feb-2021].

W. Matusik and H. Pfister, 3D TV: A Scalable System for Real-Time Acquisition, Transmission, and Autostereoscopic Display of Dynamic Scenes, ACM SIGGRAPH 2004 Pap. - SIGGRAPH ’04, vol. 23, no. 3, p. 814, 2004. DOI: https://doi.org/10.1145/1015706.1015805

B. Wilburn et al., High performance imaging using large camera arrays, ACM Trans. Graph., vol. 24, no. 3, p. 765, 2005. DOI: https://doi.org/10.1145/1073204.1073259

H. Navarro, J. C. Barreiro, G. Saavedra, and B. Javidi, High-resolution far-field integral-imaging camera by double snapshot, Opt. Express, vol. 20, no. 2, pp. 890–895, 2012. DOI: https://doi.org/10.1364/OE.20.000890

V. J. Traver, P. Latorre-carmona, E. Salvador-balaguer, F. Pla, and B. Javidi, Three-Dimensional Integral Imaging for Gesture Recognition Under Occlusions, vol. 24, no. 2, pp. 171–175, 2017. DOI: https://doi.org/10.1109/LSP.2016.2643691

J. Kim, J.-H. Jung, C. Jang, and B. Lee, Real-time capturing and 3D visualization method based on integral imaging, Opt. Express, vol. 21, no. 16, pp. 18742–18753, 2013. DOI: https://doi.org/10.1364/OE.21.018742

Z. Cai, X. Liu, G. Pedrini, W. Osten, and X. Peng, Structured-light-field 3D imaging without phase unwrapping, vol. 129, no. January, 2020. DOI: https://doi.org/10.1016/j.optlaseng.2020.106047

V. Ganapathi, C. Plagemann, D. Koller, and S. Thrun, Real time motion capture using a single time-of-flight camera, in IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 755–762. DOI: https://doi.org/10.1109/CVPR.2010.5540141

R. Schulein, M. Daneshpanah, and B. Javidi, 3D imaging with axially distributed sensing, Opt. Lett., vol. 34, no. 13, pp. 2012–2014, 2012. DOI: https://doi.org/10.1364/OL.34.002012

Y. Piao, H. Qu, M. Zhang, and M. Cho, Three-dimensional integral imaging display system via off-axially distributed image sensing, Opt. Lasers Eng., vol. 85, pp. 18–23, 2016. DOI: https://doi.org/10.1016/j.optlaseng.2016.03.023

D. Dunn et al., Wide Field of View Varifocal Near-Eye Display Using See-Through Deformable Membrane Mirrors, IEEE Trans. Vis. Comput. Graph., vol. 23, no. 4, pp. 1275–1284, 2017. DOI: https://doi.org/10.1109/TVCG.2017.2657058

M. Date, S. Shimizu, D. Mikami, and Y. Kusachi, Smooth motion parallax and high resolution display based on visually equivalent light field 3D, vol. 1140205, no. April 2020, p. 4, 2020. DOI: https://doi.org/10.1117/12.2557356

H. Watanabe, N. Okaichi, T. Omura, M. Kano, H. Sasaki, and M. Kawakita, Aktina Vision: Full-parallax three-dimensional display with 100 million light rays, Sci. Rep., vol. 9, no. 1, pp. 1–9, 2019. DOI: https://doi.org/10.1038/s41598-019-54243-6

P. Wang et al., Demonstration of a low-crosstalk super multi-view light field display with natural depth cues and smooth motion parallax, Opt. Express, vol. 27, no. 23, p. 34442, 2019. DOI: https://doi.org/10.1364/OE.27.034442

A. Maimone, A. Georgiou, and J. S. Kollin, Holographic near-eye displays for virtual and augmented reality, ACM Trans. Graph., vol. 36, no. 4, pp. 1–16, 2017. DOI: https://doi.org/10.1145/3072959.3073624

K.-H. L. Son, Jung-Young, Hyoung Lee, Beom-Ryeol Lee, Holographic and Light-Field Imaging as Future 3-D Displays, Proc. IEEE, vol. 105, no. 5, pp. 789–804, 2017. DOI: https://doi.org/10.1109/JPROC.2017.2666538

M. H. Abdurrahman, H. Amran Darwito, and A. Saleh, Face Recognition System for Prevention of Car Theft with Haar Cascade and Local Binary Pattern Histogram using Raspberry Pi, Emit. Int. J. Eng. Technol., vol. 8, no. 2, pp. 407–425, 2020. DOI: https://doi.org/10.24003/emitter.v8i2.534

C. Li, Z. Qi, N. Jia, and J. Wu, Human face detection algorithm via Haar cascade classifier combined with three additional classifiers, ICEMI 2017 - Proc. IEEE 13th Int. Conf. Electron. Meas. Instruments, vol. 2018-Janua, pp. 483–487, 2017.

Published
2022-03-22
How to Cite
Lal, M., Baloch, S. K., & Soomro, S. R. (2022). Integrated Multi-view 3D Image Capture and Motion Parallax 3D Display System. EMITTER International Journal of Engineering Technology, 10(1), 1-13. https://doi.org/10.24003/emitter.v10i1.604
Section
Articles