Continuous AU intensity estimation using localized, sparse facial feature space.
László A. JeniJeffrey M. GirardJeffrey F. CohnFernando De la TorrePublished in: FG (2013)
Keyphrases
- feature space
- high dimensional
- sparse coding
- facial expression recognition
- high dimension
- high dimensionality
- mean shift
- principal component analysis
- facial expressions
- low dimensional
- face images
- data points
- partial volume
- classification accuracy
- image representation
- estimation accuracy
- training set
- landmark detection
- input space
- facial images
- spatially localized
- feature selection
- continuous valued
- facial features
- sparse representation
- kernel function
- support vector machine
- image retrieval
- feature extraction
- dimension reduction
- hyperplane
- image intensity
- intensity images
- compressive sensing
- multiscale
- machine learning
- dense motion estimation
- regularized regression