The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multilinear image analysis for facial recognition
Abstract
Natural images are the composite consequence of multiple factors related to scene structure, illumination, and imaging. For facial images, the factors include different facial geometries, expressions, head poses, and lighting conditions. We apply, multilinear algebra, the algebra of higher-order tensors, to obtain a parsimonious representation of facial image ensembles which separates these factors. Our representation, called TensorFaces, yields improved facial recognition rates relative to standard eigenfaces.
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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
Separating Style and Content with Bilinear Models
Tenenbaum, J. B., & Freeman, W. T. (2000) · Neural Computation · doi:10.1162/089976600300015349 · Cited by 840
Cited by
Tensor Decompositions and Applications
Kolda, T. G., & Bader, B. W. (2009) · SIAM Review · doi:10.1137/07070111x · Cited by 10,301
Unsupervised Multiway Data Analysis: A Literature Survey
Acar, E., & Yener, B. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.112 · Cited by 434
Hallucinating face by position-patch
Ma, X., Zhang, J., & Qi, C. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2009.12.019 · Cited by 321
A New Truncation Strategy for the Higher-Order Singular Value Decomposition
Vannieuwenhoven, N., Vandebril, R., & Meerbergen, K. (2012) · SIAM Journal on Scientific Computing · doi:10.1137/110836067 · Cited by 277
Metadata
- Authors
- Vasilescu, M. A. O., & Terzopoulos, D.
- Venue
- Object recognition supported by user interaction for service robots
- Publisher
- IEEE Comput. Soc
- Published
- 2003-06-25
- Volume
- 2
- Pages
- 511-514
- OpenAlex
- W2131691213
- Cited by
- 229
- References
- 2
- FWCI
- 7.90
- Type
- conference paper
- Language
- en
- Open access
- closed
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