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Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs
Therefore, this paper aims to provide a deep insight into the DL-based MER frameworks with a perspective on promises in network model designing, experimental strategies, challenges, and research needs.
Cross-Centroid Ripple Pattern for Facial Expression Recognition
CRIP encodes the transitional pattern of a facial expression by incorporating cross-centroid relationship between two ripples located at radius r1 and r2 respectively.
Facial Expression Recognition
Facial Expression Recognition (FER)
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
However, existing networks fail to establish a relationship between spatial features of facial appearance and temporal variations of facial dynamics.
LEARNet Dynamic Imaging Network for Micro Expression Recognition
We also propose a Lateral Accretive Hybrid Network (LEARNet) to capture micro-level features of an expression in the facial region.
EXPERTNet Exigent Features Preservative Network for Facial Expression Recognition
The EXPERTNet extracts only pertinent features and neglect others by using exigent feature (ExFeat) block, mainly comprises of elective layer.
Facial Expression Recognition
Facial Expression Recognition (FER)
Region Based Extensive Response Index Pattern for Facial Expression Recognition
This paper presents a novel descriptor named Region based Extensive Response Index Pattern (RETRaIN) for facial expression recognition.
Facial Expression Recognition
Facial Expression Recognition (FER)
