SOM vs FCM vs PCA in 3D Face Recognition.
Sebastian PabiaszJanusz T. StarczewskiAntonino MarvugliaPublished in: ICAISC (2015)
Keyphrases
- k means
- face recognition
- principal component analysis
- fuzzy c means
- self organizing maps
- clustering algorithm
- high dimensional
- facial expressions
- face images
- fuzzy c means algorithm
- principle component analysis
- principal components analysis
- cluster analysis
- feature extraction
- fuzzy clustering
- kohonen self organizing maps
- independent component analysis
- hebbian learning
- dimensionality reduction
- kohonen self organizing map
- neural gas
- covariance matrix
- dimension reduction
- principal components
- feature vectors
- growing self organizing map
- competitive learning
- neural network
- structured light
- input space
- recognition algorithm
- feature space
- topology preserving
- face databases
- clustering method
- fcm algorithm
- data sets
- fuzzy logic
- som neural network
- fuzzy c means clustering algorithm
- low dimensional
- human faces
- facial images
- face model
- kernel pca
- pose variations