Pose-specific non-linear mappings in feature space towards multiview facial expression recognition

作者：

Highlights：

• We propose a novel approach to recognizing facial expressions over a large range of head poses.

• We introduce a non-linear form for the mapping of the features that depends on the pose of the input image.

• This mapping is robust to occasional mistakes made by the pose estimation stage.

摘要

•We propose a novel approach to recognizing facial expressions over a large range of head poses.•We introduce a non-linear form for the mapping of the features that depends on the pose of the input image.•This mapping is robust to occasional mistakes made by the pose estimation stage.

论文关键词：Non-frontal facial expression recognition,Sparse coding,Non-linear transformation,Robust arbitrary view facial expression recognition

论文评审过程：Received 28 September 2015, Revised 31 March 2016, Accepted 5 May 2016, Available online 13 May 2016, Version of Record 20 February 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.05.002