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.
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Du, JX., Zhai, CM., Ye, YQ. (2012). Face Aging Simulation Based on NMF Algorithm with Sparseness Constraints. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_67
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DOI: https://doi.org/10.1007/978-3-642-25944-9_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25943-2
Online ISBN: 978-3-642-25944-9
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