Enhanced Gabor (E-Gabor), Hypersphere-based normalization and Pearson General Kernel-based discriminant analysis for dimension reduction and classification of facial emotions

作者：

Highlights：

• Enhanced Gabor is proposed with lossless downsampling.

• Novel Hypersphere-based normalization is proposed.

• Pearson General kernel is proposed for dimension reduction and classification.

摘要

•Enhanced Gabor is proposed with lossless downsampling.•Novel Hypersphere-based normalization is proposed.•Pearson General kernel is proposed for dimension reduction and classification.

论文关键词：Facial expression,Emotion,ELM,Gabor,Discriminant analysis

论文评审过程：Received 8 January 2017, Revised 4 August 2017, Accepted 5 August 2017, Available online 9 August 2017, Version of Record 11 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.013