A Facial Wrinkle Detection by Using Deep Learning with an Efficient Optimizer-Reference-Cited by-同舟云学术

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A Facial Wrinkle Detection by Using Deep Learning with an Efficient Optimizer

Published:2023 Issue: Volume: Page:381-388
ISSN:
Container-title:Cosmetic and Reconstructive Facial Plastic Surgery
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Author:

Musafer Hassan,Tokgöz Emre^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-31168-0_13

Reference46 articles.

1. Ng, C. C., Yap, M. H., Costen, N., & Li, B. (2015). Wrinkle detection using hessian line tracking. IEEE Access, 3, 1079–1088.

2. Aznar-Casanova, J., Torro-Alves, N., & Fukusima, S. (2010). How much older do you get when a wrinkle appears on your face? Modifying age estimates by number of wrinkles. Aging, Neuropsychology, and Cognition, 17(4), 406–421.

3. Alarifi, J. S., Goyal, M., Davison, A. K., Dancey, D., Khan, R., & Yap, M. H. (2017, July). Facial skin classification using convolutional neural networks. In International conference image analysis and recognition (pp. 479–485). Springer.

4. Deepa, H., Gowrishankar, S., & Veena, A. (2022). A deep learning-based detection of wrinkles on skin. In Computational vision and bio-inspired computing (pp. 25–37). Springer.

5. Chang, T. R., & Tsai, M. Y. (2022). Classifying conditions of speckle and wrinkle on the human face: A deep learning approach. Electronics, 11(21), 3623.

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