Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment.
Ying TaiJian YangFanlong ZhangYigong ZhangLei LuoJianjun QianPublished in: SDM (2016)
Keyphrases
- pose variations
- face recognition
- face images
- multi pie
- cmu pie
- keypoints
- face databases
- recognition rate
- illumination variations
- recognition accuracy
- active appearance models
- random forests
- local binary pattern
- principal component analysis
- sparse representation
- facial expressions
- feature extraction
- feature selection
- machine learning
- face detection
- human faces
- facial images
- illumination conditions
- support vector
- multiscale
- computer vision
- lighting conditions
- low resolution
- viewpoint
- wide range