The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
From pixels to people: A model of familiar face recognition
Open accessAbstract
Research in face recognition has largely been divided between those projects concerned with front‐end image processing and those projects concerned with memory for familiar people. These perceptual and cognitive programmes of research have proceeded in parallel, with only limited mutual influence. In this paper we present a model of human face recognition which combines both a perceptual and a cognitive component. The perceptual front‐end is based on principal components analysis of face images, and the cognitive back‐end is based on a simple interactive activation and competition architecture. We demonstrate that this model has a much wider predictive range than either perceptual or cognitive models alone, and we show that this type of combination is necessary in order to analyse some important effects in human face recognition. In sum, the model takes varying images of “known” faces and delivers information about these people.
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Cites
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Understanding face recognition
Bruce, V., & Young, A. (1986) · British Journal of Psychology · doi:10.1111/j.2044-8295.1986.tb02199.x · Cited by 3,912
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A revised version of the Psychoticism scale
Eysenck, S. B. G., Eysenck, H. J., & Barrett, P. (1985) · Personality and Individual Differences · doi:10.1016/0191-8869(85)90026-1 · Cited by 3,094
Face recognition by elastic bunch graph matching
Wiskott, L., Fellous, J.-M., Kuiger, N., & von der Malsburg, C. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598235 · Cited by 2,883
Human and machine recognition of faces: a survey
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Application of the Karhunen-Loeve procedure for the characterization of human faces
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Distortion invariant object recognition in the dynamic link architecture
Lades, M., Vorbruggen, J. C., Buhmann, J., Lange, J., von der Malsburg, C., Wurtz, R. P., & Konen, W. (1993) · IEEE Transactions on Computers · doi:10.1109/12.210173 · Cited by 1,805
Cited by
Understanding the recognition of facial identity and facial expression
Calder, A. J., & Young, A. W. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1724 · Cited by 948
Brain plasticity through the life span: Learning to learn and action video games
Bavelier, D., Green, C. S., Pouget, A., & Schrater, P. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152832 · Cited by 541
Recognition of unfamiliar faces
Hancock, P. J. B., Bruce, V., & Burton, A. M. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01519-9 · Cited by 464
Self-citationFace recognition in poor-quality video: Evidence from security surveillance
Burton, A. M., Wilson, S., Cowan, M., & Bruce, V. (1999) · Psychological Science · doi:10.1111/1467-9280.00144 · Cited by 425
Self-citationUnfamiliar faces are not faces: Evidence from a matching task
Megreya, A. M., & Burton, A. M. (2006) · Memory & Cognition · doi:10.3758/bf03193433 · Cited by 361
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Metadata
- Authors
- Burton, A.
- Venue
- Cognitive Science
- Publisher
- Wiley
- Published
- 1999-03
- Volume
- 23
- Issue
- 1
- Pages
- 1-31
- ISSN
- 0364-0213 (ISSN-L)
- OpenAlex
- W2165496678
- Cited by
- 346
- References
- 80
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
