Cascaded regression with sparsified feature covariance matrix for facial landmark detection.
Enrique Sánchez-LozanoBrais MartínezMichel F. ValstarPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- landmark detection
- covariance matrix
- covariance matrices
- sample size
- principal component analysis
- gaussian mixture
- positive definite
- pseudo inverse
- geometrical interpretation
- feature vectors
- multivariate gaussian
- eigendecomposition
- mahalanobis distance
- class conditional densities
- eigenvalues and eigenvectors
- correlation matrix
- regression model
- support vector
- objective function
- estimation error
- feature set
- ridge regression
- face detection
- cma es
- machine learning