• DocumentCode
    3672322
  • Title

    Completing 3D object shape from one depth image

  • Author

    Jason Rock;Tanmay Gupta;Justin Thorsen;JunYoung Gwak;Daeyun Shin;Derek Hoiem

  • Author_Institution
    University of Illinois at Urbana-Champaign, USA
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    2484
  • Lastpage
    2493
  • Abstract
    Our goal is to recover a complete 3D model from a depth image of an object. Existing approaches rely on user interaction or apply to a limited class of objects, such as chairs. We aim to fully automatically reconstruct a 3D model from any category. We take an exemplar-based approach: retrieve similar objects in a database of 3D models using view-based matching and transfer the symmetries and surfaces from retrieved models. We investigate completion of 3D models in three cases: novel view (model in database); novel model (models for other objects of the same category in database); and novel category (no models from the category in database).
  • Keywords
    "Three-dimensional displays","Shape","Solid modeling","Image reconstruction","Deformable models","Training","Approximation methods"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2015.7298863
  • Filename
    7298863