Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition

作者：

Highlights：

• An improved face cropping scheme is proposed.

• Deep and Shallow features are fused for facial expression recognition.

• Transformed of Pyramid Multi-Level representation of three hand-crafted descriptors are used.

• Transformed of two deep features are used.

• Performance is studied using within-database and cross-databases validation schemes.

摘要

•An improved face cropping scheme is proposed.•Deep and Shallow features are fused for facial expression recognition.•Transformed of Pyramid Multi-Level representation of three hand-crafted descriptors are used.•Transformed of two deep features are used.•Performance is studied using within-database and cross-databases validation schemes.

论文关键词：Facial expression,PML Representation,Deep features,Hand-crafted features,Cross-databases

论文评审过程：Received 1 October 2019, Revised 14 April 2020, Accepted 14 April 2020, Available online 28 April 2020, Version of Record 7 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113459