• DocumentCode
    1595324
  • Title

    Three-dimensional skeleton extraction by point set contraction

  • Author

    Giannitrapani, Riccardo ; Murino, Vittorio

  • Author_Institution
    Dipartimento di Matematica e Inf., Udine Univ., Italy
  • Volume
    1
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    565
  • Abstract
    In this paper, a skeleton extraction method for unstructured three-dimensional data is presented. The algorithm is based on a point set contraction procedure and is proved to be robust to noise and coarse resolution of original data. Preliminary experiments performed on both synthetic and real data are provided, showing the goodness of the proposed method
  • Keywords
    feature extraction; image thinning; point set contraction; skeleton extraction; unstructured three-dimensional data; Acoustic pulses; Cameras; Data mining; Layout; Noise robustness; Noise shaping; Shape; Signal processing; Skeleton; Underwater acoustics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.821692
  • Filename
    821692
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1595324