• DocumentCode
    249115
  • Title

    Depth images super-resolution: An iterative approach

  • Author

    Vianello, A. ; Michielin, F. ; Calvagno, Giancarlo ; Sartor, P. ; Erdler, O.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3778
  • Lastpage
    3782
  • Abstract
    Among all the techniques for 3D acquisition, stereo vision systems are the most common. More recently, Time-of-Flight (ToF) range cameras have been introduced. They allow real-time depth estimation in conditions where stereo does not work well. Unfortunately, ToF sensors still have a limited resolution (e.g., 200 × 200 pixels). The goal of this paper is to combine the information from the ToF with one or two standard cameras, in order to obtain a highresolution depth image. To this end, we propose a new bilateral filter for depth maps up-sampling, which exploits the additional information provided by a high-resolution color image. Moreover, we present an entire framework for the super-resolution of a real ToF depth map with a single camera color image. The algorithm allows to enhance the resolution of the ToF camera depth image up to 1920 × 1080 pixels.
  • Keywords
    computer vision; filtering theory; image colour analysis; image enhancement; image resolution; image sampling; image sensors; iterative methods; stereo image processing; 3D acquisition; ToF camera depth image resolution enhancement; ToF sensors; bilateral filter; computer vision; depth estimation; depth image superresolution; depth maps up-sampling; high-resolution color image; iterative approach; stereo vision systems; time-of-flight range cameras; Cameras; Color; Noise; Spatial resolution; Standards; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025767
  • Filename
    7025767