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Low-dimensional procedure for the characterization of human faces
Abstract
A method is presented for the representation of (pictures of) faces. Within a specified framework the representation is ideal. This results in the characterization of a face, to within an error bound, by a relatively low-dimensional vector. The method is illustrated in detail by the use of an ensemble of pictures taken for this purpose.
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Cited by
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
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Martinez, A. M., & Kak, A. C. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908974 · Cited by 3,249
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Brunton, S. L., Noack, B. R., & Koumoutsakos, P. (2020) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-010719-060214 · Cited by 3,063
Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons
Leung, T., & Malik, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011126920638 · Cited by 1,498
Generative Modeling by Estimating Gradients of the Data Distribution
Song, Y., & Ermon, S. (2019) · arXiv · doi:10.48550/arxiv.1907.05600 · Cited by 1,453
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The Code for Facial Identity in the Primate Brain
Chang, L., & Tsao, D. Y. (2017) · Cell · doi:10.1016/j.cell.2017.05.011 · Cited by 644
Yondo, R., Andrés, E., & Valero, E. (2018) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.11.003 · Cited by 311
Neurophysiology of shape processing
Perrett, D. I., & Oram, M. W. (1993) · Image and Vision Computing · doi:10.1016/0262-8856(93)90011-5 · Cited by 213
Efficient, robust and accurate fitting of a 3D morphable model
Romdhani, & Vetter (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238314 · Cited by 189
Facial-recognition algorithms: A literature review
Kaur, P., Krishan, K., Sharma, S. K., & Kanchan, T. (2020) · Medicine, Science and the Law · doi:10.1177/0025802419893168 · Cited by 139
Higher performers upregulate brain signal variability in response to more feature-rich visual input
Garrett, D. D., Epp, S. M., Kleemeyer, M., Lindenberger, U., & Polk, T. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116836 · Cited by 48
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Stevens, N., & Keyes, O. (2021) · Cultural Studies · doi:10.1080/09502386.2021.1895252 · Cited by 41
What the human face tells the human mind: some challenges for the robot-human interface
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Spacecraft Pose Estimation using Principal Component Analysis and a Monocular Camera
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Metadata
- Authors
- Sirovich, L., & Kirby, M.
- Venue
- Journal of the Optical Society of America A
- Publisher
- Optica Publishing Group
- Published
- 1987-03-01
- Volume
- 4
- Issue
- 3
- Pages
- 519
- ISSN
- 1084-7529 (ISSN-L)
- 1520-8532
- OpenAlex
- W2130259898
- Cited by
- 2,311
- References
- 0
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
