Face aging simulation based on NMF algorithm with sparseness constraints

Authors:
Ji-Xiang Du;Chuan-Min Zhai;Yong-Qing Ye
Affiliations:
Department of Computer Science and Technology, Huaqiao University, Xiamen, China;Department of Computer Science and Technology, Huaqiao University, Xiamen, China;Department of Computer Science and Technology, Huaqiao University, Xiamen, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

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Abstract

In this paper, an improved prototyping method is adopted to perform the task of ageing a human face, which aims to incorporate sparseness constrained NMF to extract texture features of facial image and find out which part of the factorized matrix should be kept sparse. The experimental results show that NMF with coefficient H sparse is more capable of feature extraction compared to PCA method in the course of texture aging.