Facial Expression Recognition via Sparse Representation

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概要

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• A facial components based facial expression recognition algorithm with sparse representation classifier is proposed. Sparse representation classifier is based on sparse representation and computed by L1-norm minimization problem on facial components. The features of “important” training samples are selected to represent test sample. Furthermore, fuzzy integral is utilized to fuse individual classifiers for facial components. Experiments for frontal views and partially occluded facial images show that this method is efficient and robust to partial occlusion on facial images.

著者

• RUAN Qiuqi

  Institute of Information Science, Beijing Jiaotong University

• Ruan Qiuqi

  Institute Of Information Science Beijing Jiaotong University

• Zhi Ruicong

  Institute Of Information Science Beijing Jiaotong University

• WANG Zhifei

  Institute of Information Science, Beijing Jiaotong University

関連論文

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• Facial Expression Recognition via Sparse Representation

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