Enhancing Image Quality through Automated Projector Stacking
Franciszek Jełowicki
DOI: http://dx.doi.org/10.15439/2023F9900
Citation: Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 37, pages 153–156 (2023)
Abstract. This paper describes a system that combines several projectors to display a common image. Human visual perception of an image is largely dependent on contrast. When external light sources are present, the contrast of the projected image decreases. Increasing the brightness of the projector is limited by technology. By combining several projectors into one system it is possible to increase brightness, and thus contrast, without using more expensive projectors. The method of calibrating the system involves displaying the ChArUco board and taking pictures of them with a smartphone camera. Based on the detected markers, homographies are found. Then the image is modified so that each projector displays the same pixel of the input image at each point of the common projection area. Compared to existing commercial systems this one does not require a dedicated projector or camera model. Nevertheless, the results show an improvement in image quality.
References
- F. W. Campbell and J. G. Robson, “Application of fourier analysis to the visibility of gratings,” The Journal of Physiology, vol. 197, no. 3, pp. 551–566, 1968. http://dx.doi.org/10.1113/jphysiol.1968.sp008574
- B. GJ, “Contrast discrimination by the human visual system,” vol. 40, 1981. http://dx.doi.org/10.1007/BF00326678
- S. E. Smith, “Multi-axis gimbal extended pixel resolution actuator,” Patent US20 190 227 261A1, 2018. [Online]. Available: https://patents.google.com/patent/US20190227261A1
- D. G. Aliaga, Y. H. Yeung, A. Law, B. Sajadi, and A. Majumder, “Fast high-resolution appearance editing using superimposed projections,” ACM Trans. Graph., vol. 31, no. 2, 4 2012. http://dx.doi.org/10.1145/2159516.2159518. [Online]. Available: https://doi.org/10.1145/2159516.2159518
- Epson. Stacking multiple projectors for increased brightness and 3-d projection. Accessed 18.04.2023. [Online]. Available: www.youtube. com/watch?v=favBGq9iLRk
- A. Grundhöfer and D. Iwai, “Recent advances in projection mapping algorithms, hardware and applications,” Computer Graphics Forum, vol. 37, no. 2, pp. 653–675, 2018. http://dx.doi.org/https://doi.org/10.1111/cgf.13387
- Epson. Epson projector professional tool - geometry correction assist for stacking. Accessed 18.04.2023. [Online]. Available: www.youtube.com/watch?v=xHpkC4YYe5I
- Stacker app. Accessed 18.04.2023. [Online]. Available: www.domeprojection.com/products/stacker-app/
- R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge University Press, ISBN: 0521540518, 2004.
- J. Salvi, S. Fernandez, T. Pribanić, and X. Lladó, “A state of the art in structured light patterns for surface profilometry,” Pattern Recognit., vol. 43, pp. 2666–2680, 2010.
- A. Fabijańska, “Gaussian-based approach to subpixel detection of blurred and unsharp edges,” in Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, vol. 2. IEEE, 2014. http://dx.doi.org/10.15439/2014F136 pp. pages 641–650.
- G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools, 2000.
- D. Hu, D. DeTone, and T. Malisiewicz, “Deep charuco: Dark charuco marker pose estimation,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019. http://dx.doi.org/10.1109/CVPR.2019.00863 pp. 8428–8436.
- I. L. Bailey and J. Lovie, “New design principles for visual acuity letter charts,” Optometry and Vision Science, vol. 53, p. 740–745, 1976.