Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition.
Chris McCoolJamie CookVinod ChandranSridha SridharanPublished in: AVSS (2006)
Keyphrases
- principal component analysis
- face recognition
- principal components
- feature vectors
- covariance matrix
- high dimensional
- covariance matrices
- data sets
- feature extraction
- lower dimensional
- vector representation
- facial expressions
- principal components analysis
- preprocessing step
- three dimensional
- gabor features
- structured light
- pose variations
- discriminant analysis
- dimensionality reduction
- face model
- training set
- principle component analysis
- support vector