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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cook, J. Chandran, V. Sridharan, S. |
| Copyright Year | 2005 |
| Abstract | The eigenfaces algorithm has long been a mainstay in the field of face recognition due to the high dimensionality of face images. While providing minimal reconstruction error, the eigenface-based transform space de-emphasizes high-frequency information, effectively reducing the information available for classification. Methods such as linear discriminant analysis (also known as fisherfaces) allow the construction of subspaces which preserve the discriminatory information. In this article, multiscale techniques are used to partition the information contained in the frequency domain prior to dimensionality reduction. In this manner, it is possible to increase the information available for classification and, hence, increase the discriminative performance of both eigenfaces and fisherfaces techniques. Motivated by biological systems, Gabor filters are a natural choice for such a partitioning scheme. However, a comprehensive filter bank will dramatically increase the already high dimensionality of extracted features. In this article, a new method for intelligently reducing the dimensionality of Gabor features is presented. The face recognition grand challenge dataset of 3-D face images is used to examine the performance of Gabor filter banks for face recognition and to compare them against other multiscale partitioning methods such as the discrete wavelet transform and the discrete cosine transform. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 529 |
| Ending Page | 536 |
| Page Count | 8 |
| File Size | 957594 |
| File Format | |
| ISSN | 15566013 |
| Volume Number | 2 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face recognition Gabor filters Discrete wavelet transforms Image reconstruction Linear discriminant analysis Frequency domain analysis Biological systems Filter bank Data mining Feature extraction wavelet transforms Bandpass filters discrete cosine transforms face recognition Gabor filter image sampling pattern recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Safety, Risk, Reliability and Quality |
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