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Polarization Based Invisible Barcode Display

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  • First Online:
Digital TV and Wireless Multimedia Communication (IFTC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 815))

Abstract

QR Codes (Quick Response) have become a fast and effective way to convey information. Users can get access to a website, a picture, a phone number or any other information they are interested in simply by scanning the QR Codes. However, QR Codes are meaningful only to the mobile devices and naked-eye users can only see a permutation of black dots. The traditional QR Codes mode leads to spatial waste on the screen and makes the screen not appealing. This paper presents a new QR Codes embedding in system based on polarization and Spacial-temporal psychovisual modulation (STPVM). Using the fusion feature of human visual system (HVS), we separate the users’ view from the smartphone camera view and make the QR Codes totally transparent to human. At the same time, it can also be detected by the smartphone camera. Based on this system, we can realize many applications such as real-time advertisement of the merchandise shown on sceen inserted into a film etc. This paper shows a prototype system of invisible QR Codes aiming to proof and validate the theory of the system and this system can be improved in future works.

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Authors and Affiliations

  1. Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China

    Qi Chen & Yuanchun Chen

Authors
  1. Qi Chen
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  2. Yuanchun Chen
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Corresponding author

Correspondence to Qi Chen .

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Editors and Affiliations

  1. Shanghai Jiao Tong University , Shanghai, China

    Guangtao Zhai

  2. Shanghai Jiao Tong University , Shanghai, China

    Jun Zhou

  3. Jiao Tong University , Shanghai, China

    Xiaokang Yang

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Cite this paper

Chen, Q., Chen, Y. (2018). Polarization Based Invisible Barcode Display. In: Zhai, G., Zhou, J., Yang, X. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2017. Communications in Computer and Information Science, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-10-8108-8_7

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  • DOI: https://doi.org/10.1007/978-981-10-8108-8_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8107-1

  • Online ISBN: 978-981-10-8108-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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