Dynamic Facial Expression Recognition by Concatenation of Raw, Semi-Raw, and Distance Features
Abstract
We propose a method for dynamic facial expression recognition that integrates three complementary feature streams from video sequences: (1) raw texture features extracted with EfficientNet-B0, (2) deep geometric features from face mesh representations (semi-raw, EfficientNet-B0), and (3) explicit geometric features derived from facial landmark distances.
Fields of Study & Subjects
Face recognition and analysis
Emotion and Mood Recognition
Face and Expression Recognition
Publication details
- Pages
- 5–5
- Publication date
- 2 February 2026
- Language
- EN