Estimation of Riemannian Metric in a High-Dimensional Facial Expression Space from Low-Dimensional Subspaces.
Keisuke HosakaDaigo MihiraHaruto HorieJinhui ChaoPublished in: HCI (56) (2024)
Keyphrases
- facial expressions
- riemannian metric
- high dimensional
- facial expression recognition
- parameter space
- low dimensional
- human faces
- face images
- shape space
- face recognition
- facial features
- video sequences
- vector space
- fisher information
- facial images
- shape representation
- riemannian manifolds
- dimensionality reduction
- tensor field
- shape analysis
- space time
- similarity search
- high dimensional data
- parametric models
- data points