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Chinese Conference on Biometric Recognition

CCBR 2016: Biometric Recognition pp 483–493Cite as

A Computational Other-Race-Effect Analysis for 3D Facial Expression Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9967))

Abstract

This paper investigates the other-race-effects in automatic 3D facial expression recognition, giving the computational analysis of the recognition performance obtained from two races, namely white and east Asian. The 3D face information is represented by local depth feature, and then a feature learning process is used to obtain race-sensitive features to simulate the other-race-effect. The learned features from own race and other race are then used to do facial expression recognition. The proposed analysis is conducted on BU-3DFE database, and the results show that the learned features from one race achieve better recognition performance on the own-race faces. It reveals that the other-race-effect are significant in facial expression recognition problem, which confirms the results of psychological experiment results.

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Acknowledgments

This work is supported by National Natural Science Foundation of China (Grant No. 61370146), Liaoning Science & Technology of Liaoning Province of China (Grant No. 2013405003), Natural Science Foundation of China (Grant No. 61262071) and Application Infrastructure Projects in Yunnan Province (Grant No. 2014FD016).

Author information

Authors and Affiliations

  1. Dalian Key Lab of Digital Technology for National Culture, College of Computer Science and Engineering, Dalian Minzu University, Dalian, 116600, Liaoning, China

    Mingliang Xue, Xiaodong Duan, Cunrui Wang, Yuangang Wang & Zedong Li

  2. Key Laboratory of Education Informatization for Nationalities, Ministry of Education, Yunnan Normal University, Kunming, 650500, Yunnan, China

    Juxiang Zhou

  3. Department of Computing, Curtin University, Kent Street, Perth, WA, 6102, Australia

    Wanquan Liu

Authors
  1. Mingliang Xue
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  2. Xiaodong Duan
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  3. Juxiang Zhou
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  4. Cunrui Wang
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  5. Yuangang Wang
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  6. Zedong Li
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  7. Wanquan Liu
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Corresponding author

Correspondence to Xiaodong Duan .

Editor information

Editors and Affiliations

  1. Sichuan University , Chengdu, China

    Zhisheng You

  2. Tsinghua University , Beijing, China

    Jie Zhou

  3. Beihang University , Beijing, China

    Yunhong Wang

  4. Chinese Academy of Sciences , Beijing, China

    Zhenan Sun

  5. Chinese Academy of Sciences , Beijing, China

    Shiguang Shan

  6. Sun Yat-sen University , Guangzhou, China

    Weishi Zheng

  7. Tsinghua University , Beijing, China

    Jianjiang Feng

  8. Sichuan University , Chengdu, China

    Qijun Zhao

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Xue, M. et al. (2016). A Computational Other-Race-Effect Analysis for 3D Facial Expression Recognition. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_53

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  • DOI: https://doi.org/10.1007/978-3-319-46654-5_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46653-8

  • Online ISBN: 978-3-319-46654-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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