• DocumentCode
    248751
  • Title

    Correcting 3D scenes estimated from sets of multi-view images using shape-from-contours

  • Author

    Grum, M. ; Bors, A.G.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of York, York, UK
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    2888
  • Lastpage
    2892
  • Abstract
    This paper proposes enforcing the consistency with segmented contours when modelling scenes with multiple objects from multi-view images. A certain rough initialization of the 3D scene is assumed to be available and in the case of multiple objects inconsistencies are expected. In the proposed shape-from-contours approach images are segmented and back-projections of segmented contours are used for enforcing the consistency of the segmented contours with 3D objects from the scene. We provide a study for the physical requirements for detecting occlusions when reconstructing 3-D scenes with multiple objects.
  • Keywords
    image segmentation; natural scenes; 3D object; 3D scene correction estimation; contour segmentation; image segmentation; multiple object inconsistency; multiview image set; occlusion detection; rough initialization; shape-from-contour; Cameras; Image reconstruction; Image segmentation; Shape; Solid modeling; Surface reconstruction; Three-dimensional displays; 3D scene modelling; image segmentation; multi-view images; occlusions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025584
  • Filename
    7025584