The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automatic face identification system using flexible appearance models
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Citations
Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Research works printed but not linked: 8
- Cootes, 1994, The use of active shape models for locating structures in medical images, Image & Vision Comput., Vol 12, 355, 10.1016/0262-8856(94)90060-4 · DOI · Paper page
- Brunelli, 1993, Face recognition: features versus templates, IEEE Trans. PAMI, Vol 15, 1042, 10.1109/34.254061 · DOI · Paper page
- Lades, 1993, Distortion invariant object recognition in the dynamic link architecture, IEEE Trans. Comput., Vol 42, 300, 10.1109/12.210173 · DOI · Paper page
- Fiser, 1993, To what extent can matching algorithms based on direct outputs of spatial filters account for human shape recognition?, Filters & Recognition
- Bookstein, 1989, Principal warps: thin-plate splines and the decomposition of deformations, IEEE Trans. PAMI, Vol 11, 567, 10.1109/34.24792 · DOI · Paper page
- Lanitis, 1994, Automatic tracking, coding and reconstruction of human faces, using flexible appearance models, Electr. Lett., Vol 30, 1578, 10.1049/el:19941110 · DOI
- Lanitis, 1993, Automatic Location of Facial Characteristics using Genetic Algorithms, Wolfson Image Analysis Unit Internal Report
- Pentland, 1994, View-based and Modular Eigenspaces for Face Recognition, MIT Media Laboratory, Perceptual Computing Section, Technical Report No. 2425
Cited by
Detecting faces in images: a survey
Yang, M.-H., Kriegman, D. J., & Ahuja, N. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982883 · Cited by 3,427
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
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
A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face
Lian, H., Lu, C., Li, S., Zhao, Y., Tang, C., & Zong, Y. (2023) · Entropy · doi:10.3390/e25101440 · Cited by 224
Metadata
- Authors
- Lanitis, A., Taylor, C., & Cootes, T.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 1995-06
- Volume
- 13
- Issue
- 5
- Pages
- 393-401
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2116789252
- Cited by
- 328
- References
- 1
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: Automatic face identification system using flexible appearance models. https://app.cochat.ai/papers/10.1016/0262-8856(95)99726-h
- The paper
- Lanitis, A., Taylor, C., & Cootes, T. (1995). Automatic face identification system using flexible appearance models. Image and Vision Computing. https://doi.org/10.1016/0262-8856(95)99726-h
Data sources
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.
