Exemplar Based Recognition of Visual Shapes

  • Søren I. Olsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoints. The matching is insensitive to rotations, limited scalings and small deformations. The recognition is robust to noise, background clutter and partial occlusion. Recognition is possible from few training images and improve with the number of training images.

Keywords

Recognition Rate Training Image Semantic Content Query Image Background Clutter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

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

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