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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
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lineage: ''
- family: Intrator
given: Nathan
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- family: Poggio
given: Tomaso
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date: 1997
date_type: published
datestamp: 1997-10-17
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dir: disk0/00/00/05/61
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rev_number: 10
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status_changed: 2007-09-12 16:30:58
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- cog-psy
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title: Complex cells and Object Recognition
type: preprint
userid: 43
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