Volume 30 Issue 3
May  2021
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GE Chenyang, YAO Huimin, ZHOU Yanhui, et al., “VLSI Design for High-Precision Three-Dimensional Depth Perception Chip,” Chinese Journal of Electronics, vol. 30, no. 3, pp. 556-560, 2021, doi: 10.1049/cje.2021.04.009
Citation: GE Chenyang, YAO Huimin, ZHOU Yanhui, et al., “VLSI Design for High-Precision Three-Dimensional Depth Perception Chip,” Chinese Journal of Electronics, vol. 30, no. 3, pp. 556-560, 2021, doi: 10.1049/cje.2021.04.009

VLSI Design for High-Precision Three-Dimensional Depth Perception Chip

doi: 10.1049/cje.2021.04.009
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This work is supported by the National Natural Science Foundation of China (No.61627811).

  • Received Date: 2016-11-08
  • This paper presents a Very large scale integration (VLSI) design method for Three-dimensional (3D) depth perception chip based on infrared coding structure light. The primary sub-modules on the chip contain the speckle pattern preprocessing module, block-matching disparity estimation, depth mapping and post-processing. The chip employs pipelining technology, and after Application specific integrated circuit (ASIC) verification, it proves that our chip has more advantages in performance of depth precision (12bits, 1mm @ 1m), image resolution (1280×960), time delay (less than 17ms), range limit (0.4~6m). It also can generate more stable and smooth depth map in real-time, which can be used in 3D recognition, motion capture or scene perception.
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  • B. Chen, D. Lei, Z. Chen, et al., “Instant dense 3D reconstruction-based UAV vision localization”, Acta Electronica Sinica, Vol.45, No.6, pp.1294–1300, 2017. (in Chinese)
    J. Harvent, B. Coudrin, L. Brèthes, et al., “Multi-view dense 3D modelling of untextured objects from a moving projector cameras system”, Machine Vision and Applications, Vol.24, No.8, pp.1645–1659, 2013.
    C. Gao, X. Li, F. Zhou, et al., “Face liveness detection based on the improved CNN with context and texture information”, Chinese Journal of Electronics, Vol.28, No.6, pp.1092–1098, 2019.
    A. Kondyli, V.P. Sisiopiku, L. Zhao, et al., “Computer assisted analysis of drivers' body activity using a range camera”, IEEE Intelligent Transportation Systems Magazine, Vol.7, No.3, pp.18–28, 2015.
    Y. Liu, F. Zheng, R. Guo, et al., “Robot intelligence for real world applications”, Chinese Journal of Electronics, Vol.27, No.3, pp.446–458, 2018.
    J. Han, L. Shao, D. Xu, et al., “Enhanced computer vision with Microsoft Kinect sensor: a review”, IEEE Transac-tions on Cybernetics, Vol.43, No.5, pp.1318–1334, 2013.
    G. Plouffe and A.M. Cretu, “Static and dynamic hand gesture recognition in depth data using dynamic time warping”, IEEE Transactions Instrumentation and Measurement, Vol.65, No.2, pp.305–316, 2016.
    S. Wang, R. Dong, W. Song, et al., “Qualitative spatial reasoning with oriented point relation in 3D space”, Chinese Journal of Electronics, Vol.28, No.2, pp.325–330, 2019.
    D. Graham, G. Simmons, D.T. Nguyen, et al., “A software based sonar ranging sensor for smart phones”, IEEE Internet of Things Journal, Vol.2, No.6, pp.479–489, 2015.
    Z. Zhang, “Microsoft Kinect sensor and its effect”, IEEE Multimedia, Vol.19, No.2, pp.4–10, 2012.
    W. Kim, Y. Wang, I. Ovsiannikov, et al., “A 1.5Mpixel RGBZ CMOS image sensor for simultaneous color and range image capture”, Proc. of 2012 IEEE International Solid-State Circuits Conference, San Francisco, CA, USA, pp.392–394, 2012.
    M.K. Singh, K.S. Venkatesh and A. Dutta “Design and development of a low-cost laser range sensor”, The Imaging Science Journal, Vol.65, No.4, pp.203–213, 2017.
    B. Sun, M. Shimoyama, N. Matsuhita, et al., “Human detection by active sensing using a laser range sensor and a pan-tilt camera”, Proc. of 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC), Shibaura Inst Technol, Toyosu Campus, Tokyo, JAPAN, pp.334–337, 2018.
    “Intel RealSense Technology”. http://www.intel.com/content/www/us/en/architecture-and-technology/realsense-overview.html##intel-realsense, 2016-9-2.
    J. Garcia and Z. Zalevsky, “Range mapping using speckle decorrelation”, Patent, US7433024B2, United States, 2008- 10-07.
    K. Khoshelham and S.O. Elberink, “Accuracy and resolution of kinect depth data for indoor mapping applications”, Sensors, Vol.12, No.2, pp.1437–1454, 2012.
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