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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sang-Il Choi Chong-Ho Choi Gu-Min Jeong |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electr. Eng., Kookmin Univ., Seoul (Gu-Min Jeong) || Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul (Sang-Il Choi; Chong-Ho Choi) |
| Abstract | We propose a pixel selection method in a face image based on discriminant features for face recognition. By analyzing the relationship between the pixels in a face image and features extracted from face images, pixels that contain a large amount of discriminative information are selected, while pixels with less discriminative information are discarded. The proposed method orders the pixels based on the discriminative information in face recognition, instead of selecting salient a priori regions. Comparative experiments are performed using the FERET, CMU-PIE and Yale B databases. The experimental results show that the pixel selection results in improved recognition performance, especially under illumination variation. |
| Sponsorship | City of Amsterdam |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 197151 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424421534 |
| DOI | 10.1109/AFGR.2008.4813384 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-17 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pixel Face recognition Feature extraction Data mining Lighting Eyes Nose Mouth Robustness Computer science |
| Content Type | Text |
| Resource Type | Article |
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