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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dang-Hui Liu Lan-Sun Shen Kin-Man Lam Xiao Kong |
| Copyright Year | 2004 |
| Description | Author affiliation: Signal & Inf. Process. Lab., Beijing Univ. of Technol., China (Dang-Hui Liu; Lan-Sun Shen) |
| Abstract | Variations in lighting conditions make face recognition an even more challenging and difficult task. In this paper, a novel approach is proposed to handle the illumination problem. Our method can restore a face image captured under arbitrary lighting conditions to one with frontal illumination by using a ratio-image and an iterative algorithm. The restored images with frontal illumination are used for face recognition by means of PCA. Experimental results demonstrate that our method can achieve a higher recognition rate, based on the Yale B and Yale database. Moreover, our algorithm has several advantages over other previous algorithms: (1) it does not need to estimate the face surface normals and the light source directions; (2) it does not need many images captured under different lighting conditions for each person, nor a set of bootstrap images that includes many images with different illuminations; and (3) it does not need to detect accurate positions of some facial feature points and to warp the image for alignment, etc. |
| Starting Page | 105 |
| Ending Page | 108 |
| File Size | 913105 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780386876 |
| DOI | 10.1109/ISIMP.2004.1434011 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image recognition Signal restoration Face recognition Lighting Signal processing algorithms Information processing Signal processing Image restoration Face detection Light sources |
| Content Type | Text |
| Resource Type | Article |
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