Face recognition based on dense correspondences

Wenke Zhang; Rui Liu; Jianmei Shuai; Ming Zhu

doi:10.1117/12.2032166

27 October 2013 Face recognition based on dense correspondences

Wenke Zhang, Rui Liu, Jianmei Shuai, Ming Zhu

Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190F (2013) https://doi.org/10.1117/12.2032166
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Face recognition under changing lighting conditions and facial expression are a challenging problem in computer vision. The variations in illumination and facial expressions can dramatically reduce the performance of face recognition. In this paper, an efficient method for face recognition which is robust under illumination and facial expressions variations. The core of the algorithm based on dense correspondence which we used is characterized by LBP and regional gradient between images. Our experiment on the AR databases and ORL face databases, ORL databases as a supplement in this framework. The results show that the proposed approach is not only efficient but also outperforms the comparative methods.

Citation Download Citation

Wenke Zhang, Rui Liu, Jianmei Shuai, and Ming Zhu "Face recognition based on dense correspondences", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190F (27 October 2013); https://doi.org/10.1117/12.2032166

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