Infrared and Laser Engineering, Volume. 49, Issue 6, 20201012(2020)

Rapid identification of metal debris in complicated scenes by using polarization imaging(Invited)

Xiong Zhihang1...2,*, Liao Ran1, Zeng Yaguang2, Liu Jin3 and Ma Hui1 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Crimes associated to explosives always kill the lives of people, destroy the facilities, and threaten the public security. Rapid identifying the medal debris from the residuals of the explosives in criminal scenes is the key to speed up the detection of these criminal cases. Responding to these applications, in the paper, a method was proposed based on polarization imaging to rapidly identify the medal debris from the complicated scenes. Two setups were built, which can respectively capture polarization images with multiple colors and in a simultaneous imaging manner. Experiments of the medal and non-medal debris and their mixtures show that polarization imaging can effectively identify the medal debris if the incident angle polarization, and wavelength of the illuminating light are appropriately set. Simulations based on Fresnel formula show how the polarization degrees and angles change with the incident angle, polarization, and wavelength of the illumination light. And the results suggest that polarization imaging can identify the types of the medal debris, which is proved by the additional experiments. In summary, it is indicated that polarization imaging has the potential to rapidly identify the medal debris from the complicated scenes which would help for the physical evidence in criminal detections.

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    Xiong Zhihang, Liao Ran, Zeng Yaguang, Liu Jin, Ma Hui. Rapid identification of metal debris in complicated scenes by using polarization imaging(Invited)[J]. Infrared and Laser Engineering, 2020, 49(6): 20201012

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    Paper Information

    Category: Special issue-Polarization detection and imaging

    Received: Feb. 6, 2020

    Accepted: Mar. 5, 2020

    Published Online: Sep. 21, 2020

    The Author Email: Zhihang Xiong (13078183476@163.com)

    DOI:10.3788/irla20201012

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