• DocumentCode
    1896925
  • Title

    Depth map super-resolution

  • Author

    Gevrekci, Murat ; Pakin, Kubilay

  • Author_Institution
    Gudum ve Elektro-Opt. Grubu, ASELSAN Mikroelektron., Turkey
  • fYear
    2011
  • fDate
    20-22 April 2011
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    The objective of this work is to increase the range resolution of time-of-flight (ToF) cameras. Our work aims to produce a super-resolution depth map and reduce the depth error within the whole work volume using a novel multi-exposure data acquisition technique and Projection Onto Convex Sets (POCS) reconstruction. The proposed methods will also be applicable to other imaging modalities which have the capability of acquiring range data, such as LIDAR (Light Detection and Ranging). Performance is demonstrated on using ToF and CCD camera jointly to increase both depth map and form high resolution point cloud.
  • Keywords
    CCD image sensors; cameras; data acquisition; image reconstruction; image resolution; CCD camera; LIDAR; POCS reconstruction; ToF cameras; depth map superresolution; high-resolution point cloud; imaging modalities; light detection and ranging; multiexposure data acquisition technique; projection onto convex set reconstruction; range resolution; time-of-flight cameras; Art; Charge coupled devices; Conferences; Image resolution; Markov processes; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4577-0462-8
  • Electronic_ISBN
    978-1-4577-0461-1
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929697
  • Filename
    5929697