• DocumentCode
    248852
  • Title

    3D non-rigid pattern recognition based on structural analysis

  • Author

    Hachani, M. ; Zaid, A.O. ; Puech, W.

  • Author_Institution
    Nat. Eng. Sch. of Tunis, Univ. of Tunis El Manar, Tunis, Tunisia
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3131
  • Lastpage
    3135
  • Abstract
    This paper presents a new retrieval approach for 3D non-rigid objects. The proposed method consists in using the Reeb graph representation as local shape descriptor. The generated Reeb graph, based on the heat diffusion properties, is segmented into Reeb charts having a controlled topology. Each Reeb chart is associated with a couple of geometrical signatures, based on the area and angle distortions. The matching procedure is carried out on each pair of Reeb charts, according to the minimum distance between the corresponding signatures. A global similarity measure quantifies the degree of correspondence between all the matched Reeb charts. Experimental results, conducted on SHREC 2011 dataset, have shown that our retrieval approach provides an overall retrieval efficiency gain compared to three state-of-the-art methods.
  • Keywords
    graph theory; image matching; image retrieval; image segmentation; object recognition; shape recognition; 3D nonrigid object retrieval approach; 3D nonrigid pattern recognition; Reeb chart matching; Reeb graph representation; SHREC 2011 dataset; angle distortion; area distortion; geometrical signature; heat diffusion property; local shape descriptor; structural analysis; Accuracy; Computational modeling; Feature extraction; Heating; Robustness; Shape; Three-dimensional displays; Pattern recognition; Reeb charts; Reeb graph; geometrical signatures; global similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025633
  • Filename
    7025633