Object Indexing Using an Iconic Sparse Distributed Memory

  title={Object Indexing Using an Iconic Sparse Distributed Memory},
  author={Rajesh P. N. Rao and Dana H. Ballard},
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 derivative 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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