PCA filter based covariance descriptor for 2.5D face recognition.
Lee-Ying ChongAndrew Beng Jin TeohThian Song OngPublished in: ICBEA (2017)
Keyphrases
- covariance matrix
- face recognition
- principal component analysis
- local binary pattern
- feature extraction
- face images
- principal components analysis
- covariance matrices
- facial expressions
- principle component analysis
- face representation
- pose variations
- principal components
- noise reduction
- discriminant information
- face databases
- keypoints
- dimensionality reduction
- linear discriminant analysis
- discriminant analysis
- feature representation
- shape descriptors
- face model
- human faces
- feature descriptors
- object recognition
- kernel pca
- recognition algorithm
- action recognition
- independent component analysis
- image descriptors
- feature space
- recognition rate
- structured light
- face verification
- sample size
- computer vision
- k means
- feature vectors
- pairwise
- facial images