Discriminative Multidimensional Scaling for Low-Resolution Face Recognition.
Fuwei YangWenming YangRiqiang GaoQingmin LiaoPublished in: IEEE Signal Process. Lett. (2018)
Keyphrases
- low resolution
- multidimensional scaling
- face images
- face recognition
- principal component analysis
- kernel pca
- high resolution
- feature extraction
- super resolution
- low dimensional
- low resolution images
- human faces
- low resolution face images
- cluster analysis
- dimensionality reduction
- euclidean distance
- facial expressions
- semi supervised
- image super resolution
- high quality
- manifold learning
- feature vectors
- vector space
- computer vision
- latent semantic indexing
- linear discriminant analysis
- unsupervised learning
- input image
- facial features
- face detection
- high dimensional
- sparse representation
- geodesic distance
- optical flow
- feature selection
- data points
- data sets