Object indexing using an iconic sparse distributed memory

@article{Rao1995ObjectIU,
  title={Object indexing using an iconic sparse distributed memory},
  author={R. P. Rao and D. Ballard},
  journal={Proceedings of IEEE International Conference on Computer Vision},
  year={1995},
  pages={24-31}
}
  • R. P. Rao, D. Ballard
  • Published 1995
  • Computer Science
  • Proceedings of IEEE International Conference on Computer Vision
  • A general-purpose object indexing technique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces to achieve high-precision recognition. An object is represented by a set of high-dimensional iconic feature vectors comprised of the responses of derivatives of Gaussian filters at a range of orientations and scales. Since these filters can be shown to form the eigenvectors of arbitrary images containing both natural… CONTINUE READING
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