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AR Technology-Assisted Selfie Design and Dissemination Path Analysis

Author

Listed:
  • Di Zhang
  • Syed Agil Alsagoff
  • Megat Al Imran Yasin
  • Siti Aishah Muhammad Razi

Abstract

Augmented reality (AR) is a technology based on 3D registration, virtual-real fusion and human-computer interaction to achieve the integration of virtual objects and real scenes. The core problem of augmented reality task is the accurate and fast recognition and tracking of objects in real scenes, which provides the technical basis for updating and optimizing the selfie design. This paper discusses the specific technical path of AR applied to selfie design based on the deep learning approach, and demonstrates the impact of different deep learning algorithms on the effectiveness of the integration of AR and selfie, and finally the paper discusses the application prospects of AR in selfie.

Suggested Citation

  • Di Zhang & Syed Agil Alsagoff & Megat Al Imran Yasin & Siti Aishah Muhammad Razi, 2023. "AR Technology-Assisted Selfie Design and Dissemination Path Analysis," Studies in Media and Communication, Redfame publishing, vol. 11(6), pages 288-298, September.
    • Handle: RePEc:rfa:smcjnl:v:11:y:2023:i:6:p:288-298
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    References listed on IDEAS

    as
    1. Lisa Berkemeier & Benedikt Zobel & Sebastian Werning & Ingmar Ickerott & Oliver Thomas, 2019. "Engineering of Augmented Reality-Based Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(1), pages 67-89, February.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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