• DocumentCode
    639349
  • Title

    Improving the Visual Comprehension of Point Sets

  • Author

    Katz, Sarah ; Tal, Avishay

  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    121
  • Lastpage
    128
  • Abstract
    Point sets are the standard output of many 3D scanning systems and depth cameras. Presenting the set of points as is, might "hide" the prominent features of the object from which the points are sampled. Our goal is to reduce the number of points in a point set, for improving the visual comprehension from a given viewpoint. This is done by controlling the density of the reduced point set, so as to create bright regions (low density) and dark regions (high density), producing an effect of shading. This data reduction is achieved by leveraging a limitation of a solution to the classical problem of determining visibility from a viewpoint. In addition, we introduce a new dual problem, for determining visibility of a point from infinity, and show how a limitation of its solution can be leveraged in a similar way.
  • Keywords
    computer graphics; data reduction; 3D scanning systems; data reduction; depth cameras; point sets; visual comprehension; Approximation algorithms; Image reconstruction; Noise; Observers; Surface reconstruction; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.23
  • Filename
    6618867