Complex Cells and Object Recognition

  title={Complex Cells and Object Recognition},
  author={Shimon Edelman and Nathan Intrator},
Nearest-neighbor correlation-based similarity computation in the space of outputs of complex-type receptive elds can support robust recognition of 3D objects. Our experiments with four collections of objects resulted in mean recognition rates between 84% (for subordinate-level discrimination among 15 quadruped animal shapes) and 94% (for basic-level recognition of 20 everyday objects), over a 40 40 range of viewpoints, centered on a stored canonical view and related to it by rotations in depth… CONTINUE READING
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