The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
An improved face recognition technique based on modular PCA approach
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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
Human and machine recognition of faces: a survey
Chellappa, R., Wilson, C. L., & Sirohey, S. (1995) · Proceedings of the IEEE · doi:10.1109/5.381842 · Cited by 2,494
Application of the Karhunen-Loeve procedure for the characterization of human faces
Kirby, M., & Sirovich, L. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.41390 · Cited by 2,448
Low-dimensional procedure for the characterization of human faces
Sirovich, L., & Kirby, M. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.000519 · Cited by 2,311
Visual learning and recognition of 3-d objects from appearance
Murase, H., & Nayar, S. K. (1995) · International Journal of Computer Vision · doi:10.1007/bf01421486 · Cited by 1,881
View-based and modular eigenspaces for face recognition
Pentland, Moghaddam, & Starner (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 · doi:10.1109/cvpr.1994.323814 · Cited by 1,800
Probabilistic visual learning for object representation
Moghaddam, B., & Pentland, A. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598227 · Cited by 1,441
Characterising Virtual Eigensignatures for General Purpose Face Recognition
Graham, D. B., & Allinson, N. M. (1998) · Face Recognition · doi:10.1007/978-3-642-72201-1_25 · Cited by 607
Subspace methods for robot vision
Nayar, S. K., Nene, S. A., & Murase, H. (1996) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.538979 · Cited by 208
Nayar, S. K., & Poggio, T. (1996) · Cited by 79
Cited by
Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
Lu, J., Tan, Y.-P., & Wang, G. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.70 · Cited by 334
A Comparative Study of Local Matching Approach for Face Recognition
Zou, J., Ji, Q., & Nagy, G. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.904421 · Cited by 311
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Su, Y., Shan, S., Chen, X., & Gao, W. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2021737 · Cited by 309
Face Recognition: A Literature Review
Tolba, A. S., El-Baz, A. H., & El-Harby, A. A. (2008) · doi:10.5281/zenodo.1334651 · Cited by 265
Metadata
- Authors
- Gottumukkal, R., & Asari, V. K.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2004-03
- Volume
- 25
- Issue
- 4
- Pages
- 429-436
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2043694524
- Cited by
- 477
- References
- 11
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gottumukkal, R., & Asari, V. K. (2004). An improved face recognition technique based on modular PCA approach. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2003.11.005
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.
