Rotation-invariant object recognition using edge profile clusters

@article{Anderson2006RotationinvariantOR,
  title={Rotation-invariant object recognition using edge profile clusters},
  author={Ryan Anderson and Nick G. Kingsbury and Julien Fauqueur},
  journal={2006 14th European Signal Processing Conference},
  year={2006},
  pages={1-5}
}
This paper introduces a new method to recognize objects at any rotation using clusters that represent edge profiles. These clusters are calculated from the Interlevel Product (ILP) of complex wavelets whose phases represent the level of “edginess” vs “ridginess” of a feature, a quantity that is invariant to basic affine transformations. These clusters represent areas where ILP coefficients are large and of similar phase; these are two properties which indicate that a stable, coarse-level… CONTINUE READING

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