Some Effective Techniques for Recognizing a Person Across Aging
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-5258-8_8
Reference12 articles.
1. Sungatullina (2013) Multiview discriminative learning for age-invariant face recognition. In: 10th IEEE international conference and workshops on automatic face and gesture recognition (FG)
2. Bouchaffra D (2014) Nonlinear topological component analysis: application to age-invariant face recognition. IEEE Trans Neural Netw Learning Syst
3. Nimbarte M, Bhoyar K (2017) Face recognition across aging using GLBP features, Springer Book Series, Smart Innovations, Systems and Technologies, Chapter 30, Vol 2, pp 275–283. https://doi.org/10.1007/978-3-319-63645-0_30
4. El Khiyari H, Wechsler H (2016) Face recognition across time lapse using convolutional neural networks. J Informat Security 7(3):141–151
5. Sajid M (2016) The role of facial asymmetry in recognizing age-separated face images. J Comput Electr Eng pp 1–12. http://dx.doi.org/10.1016/j.compeleceng.2016.01.001
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