A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum
<|reference_start|>A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum: We propose a new set of rotationally and translationally invariant features for image or pattern recognition and classification. The new features are cubic polynomials in the pixel intensities and provide a richer representation of the original image than most existing systems of invariants. Our construction is based on the generalization of the concept of bispectrum to the three-dimensional rotation group SO(3), and a projection of the image onto the sphere.<|reference_end|>
@article{kondor2007a,
    title={A novel set of rotationally and translationally invariant features for
  images based on the non-commutative bispectrum},
    author={Risi Kondor},
    journal={arXiv preprint arXiv:cs/0701127},
    year={2007},
    archivePrefix={arXiv},
    eprint={cs/0701127},
    primaryClass={cs.CV cs.AI}
}