The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Face recognition: features versus templates
Abstract
Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching, are presented. The results obtained for the testing sets show about 90% correct recognition using geometrical features and perfect recognition using template matching.>
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Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Distortion invariant object recognition by matching hierarchically labeled graphs
Buhmann, Lange, & von der Malsburg (1989) · International Joint Conference on Neural Networks · doi:10.1109/ijcnn.1989.118574 · Cited by 80
Cited by
From few to many: illumination cone models for face recognition under variable lighting and pose
Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927464 · Cited by 4,912
Example-based learning for view-based human face detection
Sung, K.-K., & Poggio, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655648 · Cited by 1,773
Self-citationRecognizing action units for facial expression analysis
Tian, Y.-I., Kanade, T., & Cohn, J. F. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908962 · Cited by 1,745
Shape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
Self-citationVisual features of intermediate complexity and their use in classification
Ullman, S., Vidal-Naquet, M., & Sali, E. (2002) · Nature Neuroscience · doi:10.1038/nn870 · Cited by 600
Metadata
- Authors
- Brunelli, R., & Poggio, T.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1993
- Volume
- 15
- Issue
- 10
- Pages
- 1042-1052
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2113341759
- Cited by
- 2,436
- References
- 2
- FWCI
- 41.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Brunelli, R., & Poggio, T. (1993). Face recognition: features versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.254061
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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.
