In this paper, we propose an efficient approach to perform face alignment and recognition under lighting and expression conditions based on illumination normalization. For face representation, lighting influence and variable expressions, especially the accuracy of facial localization and face recognition, are the important factors. Hence, the proposed approach aims to overcome these problems. This approach consists of two parts. One is to normalize illumination for face image. The other is to extract feature by means of principal component analysis and recognize face by means of support vector machine classifiers. Experimental results demonstrate that our approach can obtain a good facial alignment and face recognition with varying lighting, local distortion, and expressions. © 2013 Springer-Verlag London.
CITATION STYLE
Huang, H. Y., & Hsu, S. H. (2013). Face alignment and recognition under varying lighting and expressions based on illumination normalization. In Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012 (pp. 209–218). Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4471-4594-3_22
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