• DocumentCode
    2830337
  • Title

    Integrating 3D object detection, modelling and tracking on a mobile phone

  • Author

    Bunnun, P. ; Damen, Dima ; Calway, Andrew ; Mayol-Cuevas, Walterio

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Bristol, Bristol, UK
  • fYear
    2012
  • fDate
    5-8 Nov. 2012
  • Firstpage
    273
  • Lastpage
    274
  • Abstract
    This paper presents a complete system on a camera phone that integrates a texture less 3D object detector together with in-situ modelling and tracking. The result is a suite intended for AR applications on the move where objects can be captured, tracked and with the automated detection providing a bridge to either initialize tracking or resume it after measurement loss. The object detector training is online and in-situ and benefits from tight integration with the modelling and tracking processes.
  • Keywords
    augmented reality; cameras; image texture; mobile handsets; object detection; object tracking; 3D object detection integration; AR applications; automatic texture-less 3D object detector; in-situ 3D object modelling integration; in-situ 3D object tracking integration; measurement loss; mobile camera phone; object capturing; online object detector training; Computational modeling; Constellation diagram; Detectors; Image edge detection; Object detection; Solid modeling; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed and Augmented Reality (ISMAR), 2012 IEEE International Symposium on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4673-4660-3
  • Electronic_ISBN
    978-1-4673-4661-0
  • Type

    conf

  • DOI
    10.1109/ISMAR.2012.6402570
  • Filename
    6402570