Fast dense feature extraction with convolutional neural networks that have pooling or striding layers.
Christian BailerTewodros HabtegebrialKiran VaranasiDidier StrickerPublished in: BMVC (2017)
Keyphrases
- convolutional neural networks
- feature extraction
- convolutional network
- preprocessing
- feature vectors
- discriminant analysis
- image classification
- pattern classification
- face recognition
- feature space
- feature representation
- multi layer
- support vector machine svm
- linear feature extraction
- feature selection
- extracted features
- texture analysis
- wavelet transform
- pattern recognition
- image processing
- texture classification
- principal component analysis
- extracting features
- machine learning
- linear discriminant analysis
- frequency domain
- face detection
- local binary pattern
- image features
- defect detection
- single layer