Citation

Khor, Ean Yee and Pang, Ying Han and Ooi, Shih Yin and Wee, Kuok Kwee (2015) Can subspace based learning approach perform on makeup face recognition? In: 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE Xplore, pp. 13-18. ISBN 978-1-4799-8252-3

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Abstract

The impacts of facial makeup on automated face recognition system have received attention recently and studies have shown that facial cosmetics can compromise the accuracy of current face recognition techniques. Hence, there are groups of researchers endeavoring to develop the face recognition systems that are robust to facial makeup. In this work, the literatures on various techniques proposed to deal with facial makeup are reviewed. At the same time, we present the findings of subspace based learning approach in makeup face recognition the performance comparison of local descriptors and subspace learning approaches.

Item Type:	Book Section
Uncontrolled Keywords:	subspace learning approaches, Facial makeup, face verification, local descriptors
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	16 Feb 2017 04:40
Last Modified:	16 Feb 2017 04:40
URII:	http://shdl.mmu.edu.my/id/eprint/6438

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