FSIFT based feature points for face hierarchical clustering.
Grzegorz SarwasSlawomir SkonecznyPublished in: SPA (2018)
Keyphrases
- hierarchical clustering
- feature points
- facial features
- face images
- human faces
- face model
- point correspondences
- epipolar geometry
- image sequences
- facial feature points
- clustering algorithm
- affine transformation
- clustering method
- pose estimation
- camera motion
- facial images
- point matching
- k means
- hierarchical clustering algorithm
- feature matching
- single linkage
- affine distortion
- face recognition
- facial expressions
- principal component analysis
- fundamental matrix
- partitional clustering
- single link
- cluster ensemble
- three dimensional
- lighting conditions
- feature vectors
- feature detectors
- active shape model
- active appearance models
- scale invariant feature transform
- pairwise
- feature extraction
- agglomerative clustering
- hierarchical clustering algorithms
- input image
- hierarchical clustering methods
- feature descriptors