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Laser & Optoelectronics Progress, Volume. 55, Issue 4, 041013(2018)

Occluded Facial Expression Recognition Based on Asymmetric Region Weber Local Descriptor and Block Similarity Weighting

Xiaohua Wang1、*, Ying Chen1, Min Hu1, and Fuji Ren1,2
Author Affiliations
  • 1 Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, School of Computer and Information, Hefei University of Technology, Hefei, Anhui 230009, China
  • 2 Graduate School of Advanced Technology & Science, University of Tokushima, Tokushima 7 708502, Japan;
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    References (22)
    Cited By (1)
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    Figures & Tables(8)
    3×3 neighborhood diagram of WLD

    Fig. 1. 3×3 neighborhood diagram of WLD

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    Neighborhood diagrams of (a) WLD and (b) AR-WLD

    Fig. 2. Neighborhood diagrams of (a) WLD and (b) AR-WLD

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    Differential excitation images under different neighborhood sizes

    Fig. 3. Differential excitation images under different neighborhood sizes

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    Partial occluded simulation samples. (a) JAFFE database; (b) CK database

    Fig. 4. Partial occluded simulation samples. (a) JAFFE database; (b) CK database

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    Comparison of recognition rate of different neighborhood sizes. (a) JAFFE database; (b) CK database

    Fig. 5. Comparison of recognition rate of different neighborhood sizes. (a) JAFFE database; (b) CK database

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    Comparison of recognition rate of different feature extraction algorithms. (a) JAFFE database; (b) CK database; (c) JAFFE database; (d) CK database

    Fig. 6. Comparison of recognition rate of different feature extraction algorithms. (a) JAFFE database; (b) CK database; (c) JAFFE database; (d) CK database

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    Comparison of recognition rate of different occluded expression recognition methods. (a) JAFFE database; (b) CK database; (c) JAFFE database; (d) CK database

    Fig. 7. Comparison of recognition rate of different occluded expression recognition methods. (a) JAFFE database; (b) CK database; (c) JAFFE database; (d) CK database

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    • Table 1. Comparison of recognition rate of different expression recognition methods

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      Table 1. Comparison of recognition rate of different expression recognition methods

      ExpressionJAFFE databaseCK database
      Ref. [3]Ref. [4]Ref. [22]ProposedmethodRef. [3]Ref. [4]Ref. [22]Proposedmethod
      Sadness0.9331.0000.9330.9000.9001.0001.0001.000
      Happiness1.0001.0000.8711.0000.9331.0001.0000.974
      Surprise0.9671.0000.8751.0000.9771.0001.0001.000
      Fear0.7501.0000.8281.0000.8551.0001.0001.000
      Anger0.9331.0000.9291.0000.7530.9291.0001.000
      Disgust0.8620.9331.0001.0000.9591.0000.9001.000
      Neural0.8670.9330.9331.0000.9411.0001.000-
      Average0.9020.9800.9100.9860.9030.9900.9860.996
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    Xiaohua Wang, Ying Chen, Min Hu, Fuji Ren. Occluded Facial Expression Recognition Based on Asymmetric Region Weber Local Descriptor and Block Similarity Weighting[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041013

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    Paper Information

    Category: Image processing

    Received: Sep. 27, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Xiaohua Wang (xh_wang@hfut.edu.cn)

    DOI:10.3788/LOP55.041013

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology