• DocumentCode
    579333
  • Title

    Implementation and optimization of software depth estimation for arm

  • Author

    Tse Kai Heng ; Kawashima, Yoshiya ; Fujisawa, T. ; Yasuda, G. ; Oshikiri, M. ; Tanaka, T. ; Matsuoka, Koichi ; Kikuchi, Yutaka

  • Author_Institution
    Platform & Solution Dev. Center, Toshiba Corp., Tokyo, Japan
  • fYear
    2012
  • fDate
    15-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    3D imaging capable devices have been available on the market for a few years now and the availability of 3D contents is also picking up. However, 3D contents available for viewing is not growing fast enough to meet the demand. To compensate for such a problem, most 3D imaging devices are equipped with 2D to 3D conversion function. Also, common 3D contents available are mostly produced with 2 view points which poses a problem for autostereoscopic devices that is capable of displaying multiple view points. In the absence of multiview 3D contents, to produce natural viewing experience on such device, depth estimation is an essential technology in order to create more parallax images from source images. In this paper, we present the implementation of Toshiba´s software depth estimation process on ARM processor which allows realtime processing on embedded devices such as TVs, mobile phones and tablet computers adopting stereoscopic or autostereoscopic 3D technology.
  • Keywords
    embedded systems; image processing; optimisation; 3D contents; 3D imaging capable devices; ARM processor; embedded devices; optimization; parallax images; software depth estimation; Delay; Estimation; Multicore processing; Optimization; Pipelines; Software; Vectors; Consumer products; Embedded software; Image processing; Multicore processing; Optimization; Real time systems; System-on-a-chip; Three dimensional TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012
  • Conference_Location
    Zurich
  • ISSN
    2161-2021
  • Print_ISBN
    978-1-4673-4904-8
  • Electronic_ISBN
    2161-2021
  • Type

    conf

  • DOI
    10.1109/3DTV.2012.6365427
  • Filename
    6365427