• DocumentCode
    2414798
  • Title

    Automatic reconstruction of 3D branching objects

  • Author

    Sirakov, Nikolai Metodiev

  • Author_Institution
    Inst. of Mech. & Biomech., Bulgarian Acad. of Sci., Sofia, Bulgaria
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    620
  • Abstract
    In this paper we assume that 3D objects are known as a database containing 3D co-ordinates and gray tone level of the object points. With the help of the database, we construct a sequence of planes containing a set of 2D objects. In order to reconstruct several 3D branching objects we solve the following problems: 1) divide the set of 2D objects to subsets of similar 2D objects; 2) find the branches of similar 2D objects; and 3) connect similar 2D objects and branches. We introduce the term morphological similarity to solve the first problem. We apply morphological sequences to find the branches. We determine the “corresponding” essential points to connect similar 2D objects. We performed experiments to validate the theory, using real data obtained from ore deposit
  • Keywords
    computer vision; image reconstruction; mathematical morphology; mineral processing industry; mining; stereo image processing; visual databases; 3D branching objects; computer vision; database; gray tone level images; image reconstruction; mining industry; morphological sequences; morphological similarity; Biomechanics; Humans; Minerals; Mining industry; Neoplasms; Object detection; Ores; Production; Prosthetics; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546898
  • Filename
    546898