JSTS:Journal of Semiconductor Technology and Science

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지
DOI QR코드

DOI QR Code

A Real-Time Virtual Re-Convergence Hardware Platform

  • Kim, Jae-Gon (Dep. of Mobile Systems Engineering, Sungkyunkwan University) ;
  • Kim, Jong-Hak (Dep. of Mobile Systems Engineering, Sungkyunkwan University) ;
  • Ham, Hun-Ho (Dep. of Mobile Systems Engineering, Sungkyunkwan University) ;
  • Kim, Jueng-Hun (Dep. of Mobile Systems Engineering, Sungkyunkwan University) ;
  • Park, Chan-Oh (Dep. of Mobile Systems Engineering, Sungkyunkwan University) ;
  • Park, Soon-Suk (Dep. of Mobile Systems Engineering, Sungkyunkwan University) ;
  • Cho, Jun-Dong (Dep. of Mobile Systems Engineering, Sungkyunkwan University)
  • Received : 2011.08.01
  • Published : 2012.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a real-time virtual re-convergence hardware platform especially to reduce the visual fatigue caused by stereoscopy. Our unique idea to reduce visual fatigue is to utilize the virtual re-convergence based on the optimized disparity-map that contains more depth information in the negative disparity area than in the positive area. Our virtual re-convergence hardware platform, which consists of image rectification, disparity estimation, depth post-processing, and virtual view control, is realized in real time with 60 fps on a single Xilinx Virtex-5 FPGA chip.

Keywords

References

  1. K. Ukaia, and P. Howarth, "Visual fatigue caused by viewing stereoscopic motion images: Background, theories, and observations," Displays, vo.29 (2), pp.106-116, 2008. https://doi.org/10.1016/j.displa.2007.09.004
  2. J. Park, G. Um, C. Ahn, and C. Ahn, "Virtual Control of Optical Axis of the 3DTV Camera for Reducing Visual Fatigue in Stereoscopic 3DTV," ETRI Journal, vo.26 (6), pp.597-604, 2004. https://doi.org/10.4218/etrij.04.0603.0024
  3. I. Ohzawa, G. C. Deangelis, and R. D. Freeman, "Stereoscopic Depth Discrimination in the Visual Cortex: Neurons Ideally Suited as Disparity Detectors," Science, vo.q, pp.1037-1041, 1990.
  4. D. Scharstein and R. Szeliski, "A Taxonomy and evaluation of dense two-frame stereo correspondence algorithms," International Journal of Computer Vision, vo.47 (1/2/3), pp.7-42, 2002. https://doi.org/10.1023/A:1014573219977
  5. S. Jin, J. Cho, X. D. Pham, K. M. Lee, S.-K Park, M. Kim, and J. W. Jeon, "FPGA Design and Implementation of a Real-Time Stereo Vision System," IEEE Transactions on Circuits and Systems for Video Technology, vo.20 (1), pp.15-26, 2010. https://doi.org/10.1109/TCSVT.2009.2026831
  6. M. Maymandi-Nejad and M. Sachdev, "A monotonic digitally controlled delay element," Solid-State Circuits, IEEE Journal of, Vol.40, No.11, pp.2212-2219, Nov., 2005. https://doi.org/10.1109/JSSC.2005.857370
  7. S. Yoon, D. B. Min, and K. Sohn, "Fast Dense Stereo Matching Using Adaptive Window in Hierarchical Framework." Advances in Visual Computing, vo.4292, pp.316-325, 2006. https://doi.org/10.1007/11919629_33
  8. J. I. Woodfill, G. Gordon, and R. Buck, "Tyzx DeepSea high speed stereo vision system," in Proc. IEEE Comput. Soc. Workshop Real-Time 3-D Sensors Use Conf. Comput. Vision Pattern Recog., Washington D.C., pp. 41-46, 2004.
  9. L. Jiangbo, G. Lafruit, and F. Catthoor, "Fast variable center-biased windowing for high-speed stereo on programmable graphics hardware," In Proceedings of the IEEE Conference on Image Process, pp.568-571, 2007.
  10. N. Y. Chang, T. Tsai, B. Hsu, Y. Chen, and T. Chang, "Algorithm and Architecture of Disparity Estimation With Mini-Census Adaptive Support Weight," IEEE Transactions on Circuits and Systems for Video Technology, vo.20(6), pp.792- 805, 2010. https://doi.org/10.1109/TCSVT.2010.2045814
  11. Y. Kim, "Reconfigurable Multi-Array Architecture for Low-Power and High-Speed Embedded Systems," Journal of Semiconductor Technology and Science, vo.11(3), pp.207-220, 2011. https://doi.org/10.5573/JSTS.2011.11.3.207