2012 | OriginalPaper | Buchkapitel
Face Aging Simulation Based on NMF Algorithm with Sparseness Constraints
verfasst von : Ji-Xiang Du, Chuan-Min Zhai, Yong-Qing Ye
Erschienen in: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.