OFF-ApexNet on micro-expression recognition system

作者：

Highlights：

• Only two frames from each video were utilized to represent significant motion features.

• A feature extractor that incorporates both the handcrafted and data-drive features were proposed.

• Promising performances were obtained in three micro-expression databases.

• A comparison of the proposed method with the state-of-the-arts was reported.

摘要

•Only two frames from each video were utilized to represent significant motion features.•A feature extractor that incorporates both the handcrafted and data-drive features were proposed.•Promising performances were obtained in three micro-expression databases.•A comparison of the proposed method with the state-of-the-arts was reported.

论文关键词：Apex,CNN,Optical flow,Micro-expression,Recognition

论文评审过程：Received 28 October 2018, Revised 11 February 2019, Accepted 11 February 2019, Available online 22 February 2019, Version of Record 1 March 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.02.005