• DocumentCode
    456930
  • Title

    Towards Robust Voxel-Coloring: Handling Camera Calibration Errors and Partial Emptiness of Surface Voxels

  • Author

    Anwar, Zeeshan ; Ferrie, Frank

  • Author_Institution
    Center for Intelligent Machines, McGill Univ., Montreal, Que.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    98
  • Lastpage
    102
  • Abstract
    In this paper, we present two new methods to reduce the effects of camera calibration errors and partial emptiness of surface voxels on voxel-coloring. Both of these sources of error introduce outlier pixels in voxel projections in the input images and thus result in over-carving of the reconstructed 3D scene. The existing methods to handle these errors are either insufficient or too complex. Our proposed methods are simple and can be incorporated into existing voxel-coloring algorithms easily. Our experimental results show that the methods proposed in this paper have the ability to improve the results of existing algorithms
  • Keywords
    Gaussian processes; calibration; cameras; computer vision; image colour analysis; image reconstruction; stereo image processing; 3D scene reconstruction; adaptive Gaussian averaging; camera calibration errors; outlier pixels; partial emptiness; surface voxels; voxel coloring; voxel projections; Additive noise; Calibration; Colored noise; Image reconstruction; Layout; Machine intelligence; Pixel; Robustness; Smart cameras; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.1129
  • Filename
    1698842