Two-Dimensional Euler PCA for Face Recognition.
Huibin TanXiang ZhangNaiyang GuanDacheng TaoXuhui HuangZhigang LuoPublished in: MMM (2) (2015)
Keyphrases
- face recognition
- principal component analysis
- face images
- orl face
- linear discriminant analysis
- three dimensional
- discriminant analysis
- method for face recognition
- face databases
- recognizing faces
- principle component analysis
- local binary pattern
- feature extraction
- subspace methods
- recognition rate
- recognition accuracy
- gabor features
- facial images
- face detection
- linear dimensionality reduction
- principal components
- lower dimensional
- kernel pca
- face recognition systems
- subspace analysis
- face recognition algorithms
- face space
- differential equations
- human faces
- sparse representation
- multi dimensional
- facial expressions
- linear subspace
- face verification
- computer vision
- face identification
- dimension reduction
- face representation and recognition
- face representation
- low dimensional
- dimensionality reduction
- orl database
- feature selection
- elastic bunch graph matching
- frontal face images
- covariance matrix
- subspace learning
- handwritten digits