---
abstract: 'Nearest-neighbor correlation-based similarity computation in the space of outputs of complex-type receptive fields 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 40deg X 40deg range of viewpoints, centered on a stored canonical view and related to it by rotations in depth (comparable figures were obtained for image-plane translations). This result has interesting implications for the design of a front end to an artificial object recognition system, and for the understanding of the faculty of object recognition in primate vision.'
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creators_name:
  - family: Edelman
    given: Shimon
    honourific: ''
    lineage: ''
  - family: Intrator
    given: Nathan
    honourific: ''
    lineage: ''
  - family: Poggio
    given: Tomaso
    honourific: ''
    lineage: ''
date: 1997
date_type: published
datestamp: 1997-10-17
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dir: disk0/00/00/05/61
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eprintid: 561
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full_text_status: public
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lastmod: 2011-03-11 08:54:04
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metadata_visibility: show
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pubdom: FALSE
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refereed: FALSE
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reportno: ~
rev_number: 10
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status_changed: 2007-09-12 16:30:58
subjects:
  - cog-psy
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title: Complex cells and Object Recognition
type: preprint
userid: 43
volume: ~
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