• DocumentCode
    720654
  • Title

    Entire shape scan system with multiple pro-cams using texture information and accurate silhouette creating technique

  • Author

    Oki, Yoshinori ; Visentini-Scarzanella, Marco ; Wada, Tomohito ; Furukawa, Ryo ; Sagawa, Ryusuke ; Kawasaki, Hiroshi

  • fYear
    2015
  • fDate
    18-22 May 2015
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. Particularly, one-shot reconstruction using a projector-camera system (pro-cam) has attracted considerable attention as it can reconstruct the full 3D shape from a single image and it is therefore suitable for capturing moving objects. However, one-shot measurement methods have the issue that the projection pattern is easily affected by the texture of the target object and its background. Furthermore, background subtraction can be inaccurate due to the shadow cast by the target object. In this paper, we propose a method to solve these issues using texture estimation and online background synthesis techniques, by relying on a dictionary of pre-captured images. By applying these methods to our multi-view pro-cams, we can demonstrate the robustness of our approach for one-shot reconstruction of moving objects, with reduced sensitivity to texture and cast shadows.
  • Keywords
    cameras; image reconstruction; image texture; optical projectors; shape recognition; accurate silhouette creating technique; background subtraction; moving object 3D reconstruction; multiple view procam; one-shot measurement method; online background synthesis technique; precaptured image dictionary; projection pattern; projector camera system; shadow cast; shape scan system; target object texture; texture estimation; texture information; Accuracy; Cameras; Databases; Image color analysis; Image reconstruction; Shape; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/MVA.2015.7153123
  • Filename
    7153123