In this paper we describe our 3D object signature for 3D object classification. The signature is based on a learning approach that finds salient points on a 3D object and represent these points in a 2D spatial map based on a longitude-latitude transformation. Experimental results show high classification rates on both pose-normalized and rotated objects and include a study on classification accuracy as a function of number of rotations in the training set.


3D Object Classification 3D Object Signature 


  1. 1.
    Assfalg, J., Bimbo, A.D., Pala, P.: Content-based retrieval of 3d models through curvature maps: a cbr approach exploiting media conversion. Multimedia Tools Appl. 31, 29–50 (2006)CrossRefGoogle Scholar
  2. 2.
    Atmosukarto, I., Travillian, R., Franklin, J., Shapiro, L., Brinkley, J., Suciu, D.: A unifiying framework for combining content-based image retrieval with relational database queries for biomedical applications, SIIM (2008)Google Scholar
  3. 3.
    Biasotti, S., Giorgi, D., Marini, S., Spagnuolo, M., Facidieno, B.: A Comparison Framework for 3D Object Classification Methods. MRCS, 314–321 (2006)Google Scholar
  4. 4.
    Huber, D., Kapuria, A., Donamukkala, R.R., Hebert, M.: Parts-based 3D object classification. In: Proc. IEEE CVPR (2004)Google Scholar
  5. 5.
    Autodesk 3d studio max,
  6. 6.
    Correa, S.R., Shapiro, L., Meila, M., Berson, G., Cunnnigham, M., Sze, M.: Symbolic Signatures for Deformable Shapes. IEEE Trans. PAMI 28(1), 75–90 (2004)CrossRefGoogle Scholar
  7. 7.
    Kadir, T., Brady, M.: Scale, Saliency and Image Description. IJCV 45(2), 83–105 (2001)CrossRefzbMATHGoogle Scholar
  8. 8.
    Lowe, D.: Distinctive image features from scale-invariant keypoints. IJCV 60(2), 91–110 (2004)CrossRefGoogle Scholar
  9. 9.
    Lee, C.H., Varshney, A., Jacobs, D.W.: Mesh saliency. ACM Trans. Graph 24(3), 659–666 (2005)CrossRefGoogle Scholar
  10. 10.
    Novatnack, J., Nishino, K.: Scale-dependent 3d geometric features. In: Proc. ICCV (2007)Google Scholar
  11. 11.
    Ohbuchi, R., Osada, K., Furuya, T., Banno, T.: Salient local visual features for shape-based 3d model retrieval. In: Proc. IEEE SMI (2008)Google Scholar
  12. 12.
    Scholkopf, B., Smola, A.J.: Learning with kernels. Cambridge Uni. Press, Cambridge (2002)zbMATHGoogle Scholar
  13. 13.
    Vapnik, V.V.: Statistical Learning Theory. John Wiley and Sons, Chichester (1998)zbMATHGoogle Scholar
  14. 14.
    Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Indriyati Atmosukarto
    • 1
  • Linda G. Shapiro
    • 1
  1. 1.Department of Computer Science and Engineering,SeattleUniversity of WashingtonUSA

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