The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Discriminant waveletfaces and nearest feature classifiers for face recognition
Abstract
Feature extraction, discriminant analysis, and classification rules are three crucial issues for face recognition. We present hybrid approaches to handle three issues together. For feature extraction, we apply the multiresolution wavelet transform to extract the waveletface. We also perform the linear discriminant analysis on waveletfaces to reinforce discriminant power. During classification, the nearest feature plane (NFP) and nearest feature space (NFS) classifiers are explored for robust decisions in presence of wide facial variations. Their relationships to conventional nearest neighbor and nearest feature line classifiers are demonstrated. In the experiments, the discriminant waveletface incorporated with the NFS classifier achieves the best face recognition performance.
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Cited by
Linear Regression for Face Recognition
Naseem, I., Togneri, R., & Bennamoun, M. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.128 · Cited by 1,012
Fusing local patterns of Gabor magnitude and phase for face recognition
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Yang, J., Luo, L., Qian, J., Tai, Y., Zhang, F., & Xu, Y. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2535218 · Cited by 360
Human face recognition based on multidimensional PCA and extreme learning machine
Mohammed, A. A., Minhas, R., Jonathan Wu, Q. M., & Sid-Ahmed, M. A. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.03.013 · Cited by 324
Metadata
- Authors
- Chien, J.-T., & Wu, C.-C.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2002-12
- Volume
- 24
- Issue
- 12
- Pages
- 1644-1649
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2146076056
- Cited by
- 451
- References
- 18
- FWCI
- 13.10
- Type
- journal article
- Language
- en
- Open access
- closed
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