Emotion recognition from scrambled facial images via many graph embedding

作者：

Highlights：

• Proposed a novel dimensionality reduction method based on many manifold hypothesis.

• Developed a successful scheme for facial expression verification in the scrambled domain.

• Successfully validate the proposed scheme in experiments.

• Successfully tackled with the challenges of chaotic pattern analysis.

摘要

•Proposed a novel dimensionality reduction method based on many manifold hypothesis.•Developed a successful scheme for facial expression verification in the scrambled domain.•Successfully validate the proposed scheme in experiments.•Successfully tackled with the challenges of chaotic pattern analysis.

论文关键词：Facial expression,Emotion recognition,User privacy,Chaotic patterns,Many graph embedding

论文评审过程：Received 12 February 2016, Revised 31 January 2017, Accepted 2 February 2017, Available online 14 February 2017, Version of Record 21 February 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.02.003