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