Optimal Feature Extraction Using Greedy Approach for Random Image Components and Subspace Approach in Face Recognition.
Mathu Soothana S. Kumar Retna SwamiMuneeswaran KaruppiahPublished in: J. Comput. Sci. Technol. (2013)
Keyphrases
- feature extraction
- face recognition
- image classification
- feature representation
- image content
- input image
- image data
- single image
- extracting features
- feature extractor
- image preprocessing
- extracted features
- principal component analysis
- feature selection
- image analysis
- image feature extraction
- dynamic programming
- multiscale
- image features
- image segmentation
- gabor features
- principal components
- image matching
- low level feature extraction
- image representation
- feature space
- discriminant analysis
- greedy heuristic
- high resolution
- face images
- high dimensional
- low dimensional
- edge detection
- illumination conditions
- locally optimal
- keypoints
- linear subspace
- independent components analysis
- grassmann manifold
- similarity measure
- computer vision
- illumination insensitive
- image retrieval
- independent components
- feature vectors
- subspace methods
- gabor wavelets
- subspace clustering
- facial expressions
- image set
- linear discriminant analysis
- region of interest
- texture features
- human faces
- feature points
- gray level