• DocumentCode
    3019831
  • Title

    A brute force approach to depth camera odometry

  • Author

    Israël, Jonathan ; Plyer, Aurélien

  • Author_Institution
    ONERA-The French Aerosp. Lab., Palaiseau, France
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    1141
  • Lastpage
    1146
  • Abstract
    By providing direct access to 3D information of the environment, depth cameras are particularly useful for perception applications such as Simultaneous Localization And Mapping or object recognition. With the introduction of the Kinect in 2010, Microsoft released a low cost depth camera that is now intensively used by researchers, especially in the field of indoor robotics. This paper introduces a new 3D registration algorithm that can deal with considerable sensor motion. The proposed approach is designed to take advantage of the powerful computational scalability of Graphics Processing Units (GPU).
  • Keywords
    feature extraction; image registration; image sensors; 3D registration algorithm; 3D sensor; Microsoft Kinect camera; brute force algorithm; computational scalability; depth camera odometry; feature extraction; graphics processing unit; sensor motion; Approximation methods; Cameras; Feature extraction; Graphics processing unit; Iterative closest point algorithm; Robot sensing systems; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-0062-9
  • Type

    conf

  • DOI
    10.1109/ICCVW.2011.6130378
  • Filename
    6130378