End-Stop Exemplar Based Recognition

  • Søren I. Olsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


An approach to exemplar based recognition of visual shapes is presented. The shape information is described by attributed interest points (keys) detected by an end-stop operator. The attributes describe the statistics of lines and edges local to the interest point, the position of neighboring interest points, and (in the training phase) a list of recognition names. Recognition is made by a simple voting procedure. Preliminary experiments indicate that the recognition is robust to noise, small deformations, background clutter and partial occlusion.


  1. 1.
    Y. Amit, D. Geman: A Computational Model for Visual Selection, Neural Computation 11, 1999, pp. 1691–1715CrossRefGoogle Scholar
  2. 2.
    S. Agerwal, D. Roth: Learning a Sparse Representation for Object Detection, Proc. 7’th ECCV, 2002, LNGS 2353, pp. 113–127Google Scholar
  3. 3.
    A. Garg, S. Agerwal, T.S. Huang: Fusion of Global and Local Information for Object Detection, Proc. 6’th Int. Conf. on Pattern Recognition, vol. 2, 2002, pp. 723–726Google Scholar
  4. 4.
    S. Belongie, J. Malik, J. Puzicha: Shape Matching and Object Recognition Using Shape Contexts, IEEE trans. PAMI, (24)24, 2002, pp. 509–521Google Scholar
  5. 5.
    F. Heitger, L. Rosenthaler, R. Von der Heydt, E. Peterhans, O. Kubler: Simulation of Neural Contour Mechanisms: from Simple to End-stopped Cells, Vision Research vol. 32, no. 5, 1992, pp. 963–981CrossRefGoogle Scholar
  6. 6.
    D. Lowe: Object Recognition from Local Scale-Invariant Features, Proc. 7’th ICCV, 1999, pp. 1150–1157Google Scholar
  7. 7.
    R.C. Nelson, A. Selinger: Large-scale tests of a keyed, appearance-based 3-D object recognition system, Vision Research 38, 1998, pp. 2469–2488CrossRefGoogle Scholar
  8. 8.
    C. Schmid, R. Mohr: Local Grayvalue Invariants for Image Retrieval, IEEE trans. PAMI, 19(5), 1997, pp.530–535Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Søren I. Olsen
    • 1
  1. 1.Department of Computer ScienceUniversity of CopenhagenDenmark

Personalised recommendations