• Laser & Optoelectronics Progress
  • Vol. 55, Issue 4, 041013 (2018)
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;
  • show less
    DOI: 10.3788/LOP55.041013 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    3×3 neighborhood diagram of WLD
    Fig. 1. 3×3 neighborhood diagram of WLD
    Neighborhood diagrams of (a) WLD and (b) AR-WLD
    Fig. 2. Neighborhood diagrams of (a) WLD and (b) AR-WLD
    Differential excitation images under different neighborhood sizes
    Fig. 3. Differential excitation images under different neighborhood sizes
    Partial occluded simulation samples. (a) JAFFE database; (b) CK database
    Fig. 4. Partial occluded simulation samples. (a) JAFFE database; (b) CK database
    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
    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
    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
    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
    Table 1. Comparison of recognition rate of different expression recognition methods
    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
    Download Citation