• DocumentCode
    3074612
  • Title

    Measuring depth accuracy in RGBD cameras

  • Author

    Haggag, H. ; Hossny, M. ; Filippidis, Despina ; Creighton, Douglas ; Nahavandi, S. ; Puri, Vikram

  • Author_Institution
    Centre for Intell. Syst. Res. (CISR), Deakin Univ., Geelong, VIC, Australia
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents the comparison between the Microsoft Kinect depth sensor and the Asus Xtion for computer vision applications. Depth sensors, known as RGBD cameras, project an infrared pattern and calculate the depth from the reflected light using an infrared sensitive camera. In this research, we compare the depth sensing capabilities of the two sensors under various conditions. The purpose is to give the reader a background to whether use the Microsoft Kinect or Asus Xtion sensor to solve a specific computer vision problem. The properties of the two depth sensors were investigated by conducting a series of experiments evaluating the accuracy of the sensors under various conditions, which shows the advantages and disadvantages of both Microsoft Kinect and Asus Xtion sensors.
  • Keywords
    cameras; computer vision; image sensors; Asus Xtion sensor; Microsoft Kinect depth sensor; RGBD cameras; computer vision problem; depth accuracy measurement; infrared pattern; infrared sensitive camera; Accuracy; Cameras; Computer vision; Entropy; Heating; Interference; Universal Serial Bus; Asus Xtion; Depth Sensors; Microsoft Kinect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication Systems (ICSPCS), 2013 7th International Conference on
  • Conference_Location
    Carrara, VIC
  • Type

    conf

  • DOI
    10.1109/ICSPCS.2013.6723971
  • Filename
    6723971