Dual subspace manifold learning based on GCN for intensity-invariant facial expression recognition.
Jingying ChenJinxin ShiRuyi XuPublished in: Pattern Recognit. (2024)
Keyphrases
- facial expression recognition
- manifold learning
- low dimensional
- subspace learning
- feature extraction
- dimensionality reduction
- high dimensional data
- facial expressions
- high dimensional
- feature space
- principal component analysis
- linear subspace
- human computer interaction
- face recognition
- local binary pattern
- dimension reduction
- semi supervised
- head pose estimation
- human faces
- preprocessing
- data points
- high dimensionality
- pattern recognition
- facial images
- locally linear embedding
- feature selection
- facial features
- unsupervised learning
- texture analysis
- image classification
- face images
- image processing