| Fusion of visible and infrared imagery for face recognition |
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| 作者姓名： | 陈雪荣 敬忠良 孙韶媛 肖刚 |
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| 作者单位： | Institute of Aerospace Information and Control，School of Electrical and Information Engineering，Shanghai Jiaotong University，Shanghai 200030，Institute of Aerospace Information and Control，School of Electrical and Information Engineering，Shanghai Jiaotong University，Shanghai 200030，Institute of Aerospace Information and Control，School of Electrical and Information Engineering，Shanghai Jiaotong University，Shanghai 200030，Institute of Aerospace Information and Control，School of Electrical and Information Engineering，Shanghai Jiaotong University，Shanghai 200030 |
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| 基金项目： | TheresearchwasjointlysupportedbytheNationalNaturalScienceFoundationofChina(No.60375008)
AviationScienceFoundation(No.02D57003)
ChinaPh.DDisciplineSpecialFoundation(No.20020248029). |
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| 摘 要： | In recent years face recognition has received substantial attention, but still remained very challenging in real applications. Despite the variety of approaches and tools studied, face recognition is not accurate or robust enough to be used in uncontrolled environments. Infrared (IR) imagery of human faces offers a promising alternative to visible imagery, however, IR has its own limitations. In this paper, a scheme to fuse information from the two modalities is proposed. The scheme is based on eigenfaces and probabilistic neural network (PNN), using fuzzy integral to fuse the objective evidence supplied by each modality. Recognition rate is used to evaluate the fusion scheme. Experimental results show that the scheme improves recognition performance substantially.
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