Robust Detection of Skewed Symmetries

  • Authors:
  • Affiliations:
  • Venue:
  • ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

Affine-invariant feature vector, which captures local and semi-local features, was used in the detection of skewed symmetries. Here, the problem of symmetry axes detection has been formulated as a line detection problem, with known orientations within a local similarity matrix computed for a shape. Moreover, our technique allows all the local reflection-symmetries within an object to be detected. Experiments on detecting skewed symmetries of self-symmetric objects and generalized objects, under noises and occlusions, have demonstrated the effectiveness of this method.