“Display Methods of Projection Augmented Reality based on Deep Learning Pose Estimation” by Ro, Byun, Park and Han

  • ©Hyocheol Ro, Jung-Hyun Byun, Yoon Jung Park, and Tack-Don Han

  • ©Hyocheol Ro, Jung-Hyun Byun, Yoon Jung Park, and Tack-Don Han



Entry Number: 55


    Display Methods of Projection Augmented Reality based on Deep Learning Pose Estimation



    In this paper, we propose three display methods for projection based augmented reality. In spatial augmented reality (SAR), determining where information, objects, or contents are to be displayed is a difficult and important issue. We use deep learning models to estimate user pose and suggest ways to solve the issue based on this data. Finally, each method can be appropriately applied according to various applications and scenarios.


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    This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.NRF2018R1A2A1A05078628).


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