• DocumentCode
    33357
  • Title

    Object virtual viewing using adaptive tri-view morphing

  • Author

    Chatkaewmanee, Pin ; Dailey, Matthew N.

  • Author_Institution
    Comput. Sci. & Inf. Manage., Asian Inst. of Technol., Pathumthani, Thailand
  • Volume
    7
  • Issue
    6
  • fYear
    2013
  • fDate
    Aug-13
  • Firstpage
    586
  • Lastpage
    595
  • Abstract
    This study proposes a new technique for generating an arbitrary virtual view of an object of interest given a set of images taken from around that object. The algorithm extends Xiao and Shah´s tri-view morphing scheme to work with wide-baseline imagery. The authors´ method performs feature detection and feature matching across three views, then blends the real views into a virtual view. Tri-view morphing by itself is realistic when occlusion across the three views is minimal, but when it is applied to cases of more complex objects and wide baselines, occlusions lead to significant artefacts. The authors propose a new adaptive algorithm to solve these problems by (i) segmenting the views into object and background, (ii) obtaining fine-grained correspondences across the three views, (iii) constructing, when a border point in one view is occluded in one or two of the other views, a virtual correspondence for that point and (iv) synthesising novel views using barycentric interpolation and automatic elimination of occluded polygons. The result is a system allowing smooth and realistic animation of the virtual object over arbitrary viewing paths.
  • Keywords
    feature extraction; image matching; image segmentation; object detection; virtual reality; adaptive algorithm; adaptive triview morphing; arbitrary virtual object view; automatic elimination; barycentric interpolation; feature detection; feature matching; object virtual viewing; occluded polygon; view blend; view segmentation; wide baseline imagery;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr.2012.0241
  • Filename
    6616267