The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
View-based and modular eigenspaces for face recognition
Abstract
We describe experiments with eigenfaces for recognition and interactive search in a large-scale face database. Accurate visual recognition is demonstrated using a database of O(10/sup 3/) faces. The problem of recognition under general viewing orientation is also examined. A view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose. In addition, a modular eigenspace description technique is used which incorporates salient features such as the eyes, nose and mouth, in an eigenfeature layer. This modular representation yields higher recognition rates as well as a more robust framework for face recognition. An automatic feature extraction technique using feature eigentemplates is also demonstrated.>
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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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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
Neural network-based face detection
Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655647 · Cited by 3,554
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
Face detection, pose estimation, and landmark localization in the wild
Zhu, X., & Ramanan, D. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6248014 · Cited by 2,120
Automatic facial expression analysis: a survey
Fasel, B., & Luettin, J. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00052-3 · Cited by 1,810
Metadata
- Authors
- Pentland, Moghaddam, & Starner
- Venue
- Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94
- Publisher
- IEEE Comput. Soc. Press
- Published
- 1994
- Pages
- 84-91
- OpenAlex
- W2098947662
- Cited by
- 1,800
- References
- 1
- FWCI
- 52.99
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Pentland, Moghaddam, & Starner. (1994). View-based and modular eigenspaces for face recognition. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94. https://doi.org/10.1109/cvpr.1994.323814
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