Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group
arXiv:1706.07757v13 citations
Originality Synthesis-oriented
AI Analysis
This addresses emotion recognition for applications like human-computer interaction, but appears incremental as it builds on existing symmetry-based methods.
The paper tackled human emotion recognition by using dihedral group theory to detect symmetry in facial key points, achieving improved results, though no concrete numbers were provided.
This article describes how to deploy dihedral group theory to detect Facial Key Points (FKP) symmetry to recognize emotions. The method can be applied in many other areas which those have the same data texture.