• DocumentCode
    456936
  • Title

    New Efficient Octree Construction from Multiple Object Silhouettes with Construction Quality Control

  • Author

    Chen, Zen ; Chou, Hong-Long

  • Author_Institution
    Dept. of Comput. Sci., National Chiao Tung Univ., Hsinchu
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    In this paper, we propose an octree construction method with a new subdivision strategy which is governed by the degree of overlapping between each generated octant and the object. The specification of a maximum level of subdivision required in the conventional method is not needed. We introduce "grey-grey" and "grey-black" nodes based on a construction quality measure. The construction quality is measured by the maximum 2D projection error of the projected octant image with respective to the object silhouette in all views. Only those octants which are "grey-grey" nodes will be subdivided. Furthermore, we present a fast computation of the 2D projection and a new intersection test to reduce the computer processing time. Computer simulations are conducted to show that the new method outperforms the conventional method in terms of memory space and computation time subject to the same level of construction quality
  • Keywords
    image representation; image segmentation; octrees; stereo image processing; 2D projection error; grey-black nodes; grey-grey nodes; object geometric model; object silhouette; object subdivision; octant image; octree construction; volumetric representation; Application software; Computer errors; Computer science; Computer simulation; Orbital robotics; Pattern recognition; Quality control; Solid modeling; Testing; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.854
  • Filename
    1698849