• DocumentCode
    2602018
  • Title

    Filling large holes in LiDAR data by inpainting depth gradients

  • Author

    Doria, David ; Radke, Richard J.

  • Author_Institution
    Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    65
  • Lastpage
    72
  • Abstract
    We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill both texture and structure in a LiDAR scan. We discuss the problems with directly inpainting a depth image, and present a solution to this problem based on inpainting the depth gradients. Once the inpainted depth gradients are obtained, we use an image reconstruction technique to obtain the final 3D scene structure. We present several real-world examples of this technique with excellent results.
  • Keywords
    gradient methods; image enhancement; image reconstruction; image texture; natural scenes; optical radar; radar imaging; 3D scene structure; LiDAR data sets; LiDAR scan; depth gradients; gradient-domain image editing; image reconstruction technique; image texture; large holes filling; light detection and ranging; patch-based image inpainting; Equations; Image color analysis; Image reconstruction; Laser radar; Standards; Surface emitting lasers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4673-1611-8
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2012.6238916
  • Filename
    6238916