• DocumentCode
    2710253
  • Title

    Real-time 3D reconstruction for mobile robot using catadioptric cameras

  • Author

    Rossi, Romain ; Savatier, Xavier ; Ertaud, Jean-Yves ; Mazari, Bélahcène

  • Author_Institution
    Res. Inst. for Embedded Syst. (IRSEEM), St. Etienne du Rouvray, France
  • fYear
    2009
  • fDate
    6-7 Nov. 2009
  • Firstpage
    104
  • Lastpage
    109
  • Abstract
    This paper presents a 3-second 3D reconstruction algorithm able to process a dense geometric approximation of the surrounding environment. Image acquisition is done by a stereoscopic panoramic system with two color catadioptric cameras mounted on a mobile robot. An algorithm running on a Graphical Processing Unit (GPU) processes the 3D reconstruction in real-time. As the camera system moves, new views of the scene are used to improve the model of the scene thanks to an incremental algorithm. Then, the performance of our approach is evaluated using a synthetic image sequence.
  • Keywords
    image reconstruction; image sensors; image sequences; mobile robots; robot vision; stereo image processing; Graphical Processing Unit; catadioptric cameras; dense geometric approximation; image acquisition; image sequence; mobile robot; real-time 3D reconstruction; stereoscopic panoramic system; Cameras; Computer vision; Embedded system; Image reconstruction; Layout; Mirrors; Mobile robots; Real time systems; Reconstruction algorithms; Robot vision systems; 3D reconstruction; CUDA; GPU; catadioptric camera; computer vision; voxel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotic and Sensors Environments, 2009. ROSE 2009. IEEE International Workshop on
  • Conference_Location
    Lecco
  • Print_ISBN
    978-1-4244-4777-0
  • Electronic_ISBN
    978-1-4244-4778-7
  • Type

    conf

  • DOI
    10.1109/ROSE.2009.5355981
  • Filename
    5355981