Name
Title | ||
|---|---|---|
Face recognition system using multiple face model of hybrid Fourier feature under uncontrolled illumination variation. |
Abstract | ||
|---|---|---|
The authors present a robust face recognition system for large-scale data sets taken under uncontrolled illumination variations. The proposed face recognition system consists of a novel illumination-insensitive preprocessing method, a hybrid Fourier-based facial feature extraction, and a score fusion scheme. First, in the preprocessing stage, a face image is transformed into an illumination-insensitive image, called an "integral normalized gradient image," by normalizing and integrating the smoothed gradients of a facial image. Then, for feature extraction of complementary classifiers, multiple face models based upon hybrid Fourier features are applied. The hybrid Fourier features are extracted from different Fourier domains in different frequency bandwidths, and then each feature is individually classified by linear discriminant analysis. In addition, multiple face models are generated by plural normalized face images that have different eye distances. Finally, to combine scores from multiple complementary classifiers, a log likelihood ratio-based score fusion scheme is applied. The proposed system using the face recognition grand challenge (FRGC) experimental protocols is evaluated; FRGC is a large available data set. Experimental results on the FRGC version 2.0 data sets have shown that the proposed method shows an average of 81.49% verification rate on 2-D face images under various environmental variations such as illumination changes, expression changes, and time elapses. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TIP.2010.2083674 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
hybrid fourier feature,face recognition grand challenge,face image,facial image,2-d face image,plural normalized face image,robust face recognition system,proposed face recognition system,multiple face model,illumination-insensitive image,face recognition system,uncontrolled illumination variation,linear discriminant analysis,log likelihood ratio,three dimensional,biometry,fourier transforms,face,feature extraction,lighting,algorithms,fourier analysis,face recognition,shape,preprocessing,computer simulation,photography,solid modeling | Computer vision,Color constancy,Facial recognition system,Eigenface,Fourier analysis,Pattern recognition,Computer science,Image processing,Feature extraction,Face Recognition Grand Challenge,Artificial intelligence,Linear discriminant analysis | Journal |
Volume | Issue | ISSN |
20 | 4 | 1941-0042 |
Citations | PageRank | References |
20 | 0.76 | 34 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wonjun Hwang | 1 | 174 | 18.82 |
| Haitao Wang | 2 | 538 | 36.95 |
| Hyunwoo Kim | 3 | 70 | 4.52 |
| Seok-cheol Kee | 4 | 129 | 13.94 |
| Junmo Kim | 5 | 476 | 42.50 |