User:Xs.uk/Books/Feature Detection in Computer Vision
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Feature Detection in Computer Vision
- Introduction
- Feature (computer vision)
- Feature Detection
- Feature detection (computer vision)
- Corner detection
- Edge (geometry)
- Edge detection
- Sobel operator
- Canny edge detector
- Features from accelerated segment test
- Difference of Gaussians
- Ridge detection
- Blob detection
- Interest point detection
- Principal curvature-based region detector
- Maximally stable extremal regions
- Scale-invariant feature transform
- GLOH
- SURF
- LESH
- Feature Extraction
- Feature extraction
- Color histogram
- Principal component analysis
- Semidefinite embedding
- Multifactor dimensionality reduction
- Multilinear subspace learning
- Nonlinear dimensionality reduction
- Isomap
- Kernel principal component analysis
- Latent semantic analysis
- Partial least squares regression
- Independent component analysis
- Autoencoder
- Feature Learning
- Feature learning
- K-means clustering
- Restricted Boltzmann machine
- Semi-supervised learning
- Artificial neural network
- Basis function
- Radial basis function network
- Kernel method
- Vector quantization
- Statistical classification
- Derivative
- Gaussian blur
- Scale space
- Scale space implementation
- Jet (mathematics)
- N-jet
- Image tracing
- Neighborhood operation
- Boolean data type
- Deep Learning
- Deep learning
- Convolutional neural network
- Deep belief network
- Buzzword
- Propositional formula
- Recurrent neural network
- Graphical model