Locality-Constrained Structral Orthogonal Procrustes Regression for Low-Resolution Face Recognition with Pose Variations.
Guangwei GaoPu HuangDong YueWankou YangPublished in: ACPR (2017)
Keyphrases
- low resolution
- pose variations
- face images
- face recognition
- active appearance models
- high resolution
- face databases
- human faces
- illumination variations
- principal component analysis
- facial expressions
- super resolution
- feature extraction
- facial features
- input image
- feature vectors
- face recognition algorithms
- face detection
- feature points
- image patches
- recognition rate
- sparse representation
- keypoints
- facial images
- training set
- least squares
- viewpoint
- multiscale
- computer vision