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A Modified Sparse Representation Method for Facial Expression Recognition
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In this paper, we carry on research on a facial expression recognition method, which is based on modified sparse representation recognition (MSRR) method.
On the first stage, we use Haar-like+LPP to extract feature and reduce dimension.
On the second stage, we adopt LC-K-SVD (Label Consistent K-SVD) method to train the dictionary, instead of adopting directly the dictionary from samples, and add block dictionary training into the training process.
On the third stage, stOMP (stagewise orthogonal matching pursuit) method is used to speed up the convergence of OMP (orthogonal matching pursuit).
Besides, a dynamic regularization factor is added to iteration process to suppress noises and enhance accuracy.
We verify the proposed method from the aspect of training samples, dimension, feature extraction and dimension reduction methods and noises in self-built database and Japan’s JAFFE and CMU’s CK database.
Further, we compare this sparse method with classic SVM and RVM and analyze the recognition effect and time efficiency.
The result of simulation experiment has shown that the coefficient of MSRR method contains classifying information, which is capable of improving the computing speed and achieving a satisfying recognition result.
American Psychological Association (APA)
Wang, Wei& Xu, Lihong. 2016. A Modified Sparse Representation Method for Facial Expression Recognition. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099706
Modern Language Association (MLA)
Wang, Wei& Xu, Lihong. A Modified Sparse Representation Method for Facial Expression Recognition. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1099706
American Medical Association (AMA)
Wang, Wei& Xu, Lihong. A Modified Sparse Representation Method for Facial Expression Recognition. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099706
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099706