• DocumentCode
    2831423
  • Title

    K-glass: Real-time markerless augmented reality smart glasses platform

  • Author

    Gyeonghoon Kim ; Sungpill Choi ; Hoi-Jun Yoo

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    1712
  • Lastpage
    1717
  • Abstract
    Recently, augmented reality (AR) has been actively studied with the proliferation of advanced displays such as a head mounted display (HMD). Nevertheless, it was almost impossible for the conventional HMDs to process the complex AR algorithm in real time, because it requires highly accurate registration and positioning of virtual objects in the real environment. In this paper, we present the world´s first markerless AR HMD system equipped with a high-throughput AR processor. Thanks to the dedicated AR processor, it can recognize general objects without any help of markers and give 3D information to the user in real time (30fps). Also, the processor adopts dynamic voltage and frequency scaling as a power managing scheme for low power consumption. As a result, it sustains one-day long real-time AR operation consuming 381mW on average when it performs the full chain of AR processing including object recognition, camera pose estimation, and 3D graphics rendering on a HD (720p) input video stream.
  • Keywords
    augmented reality; helmet mounted displays; power aware computing; K-glass; dynamic voltage and frequency scaling; head mounted display; low power consumption; markerless AR HMD system; power managing scheme; real-time markerless augmented reality; smart glasses platform; Cameras; Field programmable gate arrays; Real-time systems; Synchronization; Three-dimensional displays; Throughput; Visualization; Augmented Reality; Head mounted displays; Multi-core Vision Processor; Smart Glasses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125344
  • Filename
    7125344