Face recognition under pose variation with active shape model to adjust Gabor filter kernels and to correct feature extraction location.
Leonardo A. CamentFrancisco J. GaldamesKevin W. BowyerClaudio A. PerezPublished in: FG (2015)
Keyphrases
- active shape model
- pose variations
- gabor filters
- face recognition
- feature extraction
- face images
- facial features
- gabor wavelets
- active appearance models
- gabor features
- feature vectors
- human faces
- texture features
- shape model
- feature space
- facial expressions
- texture analysis
- recognition rate
- facial images
- face databases
- principal component analysis
- appearance model
- illumination variations
- coarse to fine
- face detection
- segmentation algorithm
- local binary pattern
- facial expression recognition
- illumination conditions
- statistical model
- low resolution
- dimensionality reduction
- pattern recognition
- random forest
- keypoints
- computer vision
- sparse representation
- image classification
- feature set
- support vector
- image sequences
- deformable models
- pose estimation
- feature points
- feature selection