[1]LIU Shuaishi,GUO Wenyan,ZHANG Yan,et al.Recognition of facial expression in case of random shielding based on robust regularized coding[J].CAAI Transactions on Intelligent Systems,2018,13(2):261-268.[doi:10.11992/tis.201609002]
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Recognition of facial expression in case of random shielding based on robust regularized coding
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 2
Page number:
261-268
Column:
学术论文—机器感知与模式识别
Public date:
2018-04-15
- Title:
- Recognition of facial expression in case of random shielding based on robust regularized coding
- Keywords:
- random shielding; regularized coding; automatic update of weight; recognition of facial expression
- CLC:
- TP391.4
- DOI:
- 10.11992/tis.201609002
- Abstract:
- In order to improve facial expression recognition rate under the random shielding, a new face representation model was proposed: robust regularized coding. Regularized regression coefficients are used for carrying out robust regression for the given signals. Firstly, in order to reduce the influence of shielding on facial expression identification system, all pixels of the expression image to be identified will be assigned with different weights; then, because the occluded pixels should have lower weight values, hence, successive iteration is applied until the weight converges to the set weight threshold; finally, the sparse representation of image to be tested can be calculated by using the optimal weight matrix, in addition, the classified results of the expression image to be tested are determined by the minimal residual that the training samples approximate to the test image. The proposed method achieved an ideal performance in Japanese JAFFE expression database and Cohn-Kanade database, in addition, the experimental results show that the method is robust for the recognition of the facial expression randomly shielded.
- References:
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1900-01-01