Home > Archive>Volume 16, Issue 1, 2020 >65-74. DOI:https://doi.org/10.1007/s11801-020-9040-2
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ign language learning based on high-speed fringe projection profilometry employing defocused binary fringe
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1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China

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    Abstract:

    A high-speed fringe projection profilometry employing defocused binary fringe is presented to record the 3-D sign language, including gesture and mouth movement, to help people learn the sign language. It employs a number of advanced approaches, such as fringes binarization and defocus method, high precision phase calculation based on the phase-shifting method and the three pitches heterodyne unwrapping (TPHU) method, and how to combine multiple binary fringes into a 24-bit fringe. Experiments have shown that the proposed system can acquire and display high-quality 3D gesture and mouth movement at a speed of 500 frames per second.

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WANG Jian-hua, ZHOU Yu-guo, YANG Yan-xi. ign language learning based on high-speed fringe projection profilometry employing defocused binary fringe[J]. Optoelectronics Letters,2020,16(1):65-74

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History
  • Received:March 13,2019
  • Revised:April 25,2019
  • Online: May 01,2020
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