Regularized Latent Least Square Regression for Cross Pose Face Recognition.
Xinyuan CaiChunheng WangBaihua XiaoXue ChenJi ZhouPublished in: IJCAI (2013)
Keyphrases
- face recognition
- pose variations
- recognize faces
- illumination variations
- facial pose
- pose invariant face recognition
- face images
- recognizing faces
- face recognition under varying
- multi pie
- low resolution face images
- pose estimation
- d morphable model
- improve recognition accuracy
- facial expressions
- discriminant analysis
- latent variables
- d objects
- linear discriminant analysis
- human faces
- face databases
- least squares
- kernel discriminant analysis
- feature extraction
- face recognition algorithms
- recognition rate
- facial images
- recognition accuracy
- principal component analysis
- probe image
- frontal view
- illumination conditions
- face detection
- keypoints
- sparse representation
- human body
- object recognition
- computer vision
- regularized least squares
- face recognition systems
- face model
- face verification
- position and orientation
- partial occlusion
- lighting conditions