On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face Recognition.
Wes RobbinsTerrance W. BoultPublished in: CVPR Workshops (2022)
Keyphrases
- feature space
- atmospheric turbulence
- face recognition
- linear discriminant analysis
- principal component analysis
- feature extraction
- high dimensional
- feature vectors
- face images
- mean shift
- kernel function
- kernel pca
- dimensionality reduction
- local binary pattern
- dimension reduction
- recognition rate
- data points
- training set
- discriminating power
- discriminant analysis
- input space
- kernel principal component analysis
- support vector machine svm
- subspace learning
- generalized discriminant analysis
- hyperplane
- recognition accuracy
- computer vision
- image representation
- low dimensional
- support vector machine
- feature selection