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--- abstract: 'We describe a computational model of face recognition, which generalizes from single views of faces, by taking advantage of prior experience with other faces, seen under a wider range of viewing conditions. The model represents face images by vectors of activities of graded overlapping receptive fields (RFs). It relies on high spatial frequency information to estimate the viewing conditions, which are then used to normalize (via a transformation specific for faces), and identify, the low spatial frequency representation of the input. The class-specific transformation approach allows the model to replicate a series of psychophysical findings on face recognition, and constitutes an advance over current face recognition methods, which are incapable of generalization from a single example.' altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: Lando given: Maria honourific: '' lineage: '' - family: Edelman given: Shimon honourific: '' lineage: '' date: 1995 date_type: published datestamp: 1997-11-18 department: ~ dir: disk0/00/00/05/76 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 576 fileinfo: /style/images/fileicons/application_postscript.png;/576/2/199711010.ps full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: ~ issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: ~ lastmod: 2011-03-11 08:54:05 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: ~ pubdom: FALSE publication: ~ publisher: ~ refereed: TRUE referencetext: ~ relation_type: [] relation_uri: [] reportno: ~ rev_number: 10 series: ~ source: ~ status_changed: 2007-09-12 16:31:23 subjects: - cog-psy succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Generalization From a Single View in Face Recognition type: preprint userid: 43 volume: ~