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Application of the Karhunen-Loeve procedure for the characterization of human faces
Abstract
The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion. This results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix, without increasing the complexity of the calculation. The resulting approximation of faces projected from outside of the data set onto this optimal basis is improved on average.>
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Citations
Cited by
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Probabilistic Principal Component Analysis
Tipping, M. E., & Bishop, C. M. (1999) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00196 · Cited by 3,679
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
Martinez, A. M., & Kak, A. C. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908974 · Cited by 3,249
Digital twin: values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
Metadata
- Authors
- Kirby, M., & Sirovich, L.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1990
- Volume
- 12
- Issue
- 1
- Pages
- 103-108
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2135463994
- Cited by
- 2,448
- References
- 0
- FWCI
- 14.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Application of the Karhunen-Loeve procedure for the characterization of human faces. https://app.cochat.ai/papers/10.1109/34.41390
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- Kirby, M., & Sirovich, L. (1990). Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.41390
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