Developing real-time training dataset for human racial classification-Reference-Cited by-同舟云学术

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Developing real-time training dataset for human racial classification

Published:2022-03-29 Issue:20 Volume:81 Page:28103-28127
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Hiremani Vani A.,Senapati Kishore Kumar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12947-4.pdf

Reference31 articles.

1. Abuzneid M, Mahmood A (2018) Improving human face recognition using deep learning based image registration and multi classifier approaches. IEEE. https://doi.org/10.1109/AICCSA.2018.8612896

2. Akhtar N, Khan S, Siddiqui G (2014) A novel Lossy image compression method. IEEE. https://doi.org/10.1109/CSNT.2014.180

3. Hussein HK (2002) Towards realistic facial modeling and re-rendering of human skin aging animation. IEEE. https://doi.org/10.1109/SMI.2002.10035547

4. Bastanfard A, Bastanfard O, Takahashi H, Nakajima M (2004) Toward anthropometrics simulation of face rejuvenation and skin cosmetic. Computer Animation and Virtual Worlds 15:347–352. https://doi.org/10.1002/cav.38

5. Bastanfard A, Takahashi H, Nakajima M (2004) Toward E-appearance of human face and hair by age, expression and rejuvenation. International Conference on Cyber worlds. https://doi.org/10.1109/CW.2004.65

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2. Chinese, Japanese, and Korean Face Classification by Fusion of Multi-layers Channel Attention and Mutual Channel Loss;Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum;2023-09-22

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