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A Real-time Compact Structured-light based Range Sensing System

  • Hong, Byung-Joo (Sungkyunkwan University - Department of Electronic and Electrical Engineering) ;
  • Park, Chan-Oh (Sungkyunkwan University - Department of Electronic and Electrical Engineering) ;
  • Seo, Nam-Seok (Sungkyunkwan University - Department of Electronic and Electrical Engineering) ;
  • Cho, Jun-Dong (Sungkyunkwan University - Department of Electronic and Electrical Engineering)
  • 투고 : 2011.09.01
  • 발행 : 2012.06.30

초록

In this paper, we propose a new approach for compact range sensor system for real-time robot applications. Instead of using off-the-shelf camera and projector, we devise a compact system with a CMOS image-sensor and a DMD (Digital Micro-mirror Device) that yields smaller dimension ($168{\times}50{\times}60mm$) and lighter weight (500g). We also realize one chip hard-wired processing of projection of structured-light and computing the range by exploiting correspondences between CMOS images-ensor and DMD. This application-specific chip processing is implemented on an FPGA in real-time. Our range acquisition system performs 30 times faster than the same implementation in software. We also devise an efficient methodology to identify a proper light intensity to enhance the quality of range sensor and minimize the decoding error. Our experimental results show that the total-error is reduced by 16% compared to the average case.

키워드

참고문헌

  1. J. Salvi, S. Fernandez, T. Pribanic, and X. Llado, "A state of the art in structured light patterns for surface profilometry," Pattern Recognition, Vol.43, No.8, pp.2666-2680, 2010. https://doi.org/10.1016/j.patcog.2010.03.004
  2. S. Zhang, "Recent progresses on real-time 3D shape measurement using digital fringe projection techniques," Optics and Lasers in Engineering, Vol.48, No.2, pp.149-158, 2010. https://doi.org/10.1016/j.optlaseng.2009.03.008
  3. F. Tsalakanidou, F. Forster, S. Malassiotis, and M. G. Strintzis, " Real-time acquisition of depth and color images using structured light and its application to 3D face recognition," Real-Time Imaging, Vol. 11(5-6), pp.358-369, 2005. https://doi.org/10.1016/j.rti.2005.06.006
  4. http://en.wikipedia.org/wiki/Structured-light_3D_scanner.
  5. J. Salvi, J. Pagés, and J. Batlle., "Pattern Codification Strategies in Structured Light Systems," Pattern Recognition, Vol.37, No.4, pp.827-849, 2004. https://doi.org/10.1016/j.patcog.2003.10.002
  6. Thomas P. Koninckx, Luc Van Gool, "Real-Time Range Acquisition by Adaptive Structured Light," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.28, No.3, pp.432-445, 2006 https://doi.org/10.1109/TPAMI.2006.62
  7. Yi Xu, Daniel G. Aliaga, "An Adaptive Correspondence Algorithm for Modeling Scenes with Strong Interreflections," IEEE Transactions on Visualization and Computer Graphics, Vol.15, No.3, pp.465-480, 2009. https://doi.org/10.1109/TVCG.2008.97
  8. D. Scharstein and R. Szeliski, "High-accuracy stereo depth maps using structured light," CVPR03, pp.195-202, 2003.
  9. S. Zhang, P. Huang, "Novel method for structured light system calibration," Optical Engineering, Vol.45, No.28, pp.083601, 2006. https://doi.org/10.1117/1.2336196
  10. Chanho Lee, "Smart Bus Arbiter for QoS control in H.264 decoders," Journal of Semiconductor Technology and Science, Vol.11, No.1, pp.33-39, 2011. https://doi.org/10.5573/JSTS.2011.11.1.033

피인용 문헌

  1. Color Image Enhancement Based on Adaptive Nonlinear Curves of Luminance Features vol.15, pp.1, 2015, https://doi.org/10.5573/JSTS.2015.15.1.060
  2. Hot photoluminescence in quantum-well structures under continuous wave pumping vol.7, pp.10, 1999, https://doi.org/10.1088/0268-1242/7/10/001
  3. FPGA Based Adaptive Rate and Manifold Pattern Projection for Structured Light 3D Camera System vol.18, pp.4, 2018, https://doi.org/10.3390/s18041139