Wang Linlin, Liu Jinghao, Fu Xiaomei. Facial Expression Recognition Based on Fusion of Local Features and Deep Belief Network[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11002
- Laser & Optoelectronics Progress
- Vol. 55, Issue 1, 11002 (2018)
Fig. 1. Log-Gabor magnitude features of local facial expression image
Fig. 2. Second-order HOG features of local facial expression image
Fig. 3. Structure of DBN
Fig. 4. Flowchart of facial expression recognition based on fusion of local features and DBN
Fig. 5. Sample images. (a) JAFFE database; (b) CK database; (c) CK+ database
Fig. 6. Examples of facial expression database image preprocessing. (a) JAFFE database; (b) CK database; (c) CK+ database
Fig. 7. Expression recognition rate of DBN with different RBM layers
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Table 1. Training and recognition time of DBN with different RBM layers
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Table 2. Recognition rate based on different features
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Table 3. Recognition rate of different algorithms%
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Table 4. Comparison of recognition rate of different methods on JAFFE database
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Table 5. Comparison of recognition rate of different methods on CK database
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Table 6. Comparison of recognition rate of different methods on CK+ database
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