User:Xs.uk/Books/Feature Detection in Computer Vision
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Feature Detection in Computer Vision
[edit]- 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
- Recurrent neural network
- Motion detection
- Optical flow
- Hough transform
- Thresholding (image processing)
- Connected-component labeling
- Graphical model
- Template matching
- 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
- Propositional formula
- Feature Selection
- Feature selection
- Simulated annealing
- Genetic algorithm
- Greedy algorithm
- Targeted projection pursuit
- Random forest
- Decision tree learning
- Memetic algorithm
- Minimum redundancy feature selection
- Cluster Analysis
- Cluster analysis
- Hierarchical clustering
- Basic sequential algorithmic scheme
- Davies–Bouldin index
- Dunn index
- Silhouette (clustering)
- Rand index
- F1 score
- Jaccard index
- Fowlkes–Mallows index
- Mutual information
- Confusion matrix
- Clustering high-dimensional data
- Conceptual clustering
- Consensus clustering
- Constrained clustering
- Data stream clustering
- Sequence clustering
- Spectral clustering
- Nearest neighbor search
- Neighbourhood components analysis
- Latent class model
- Multidimensional scaling
- Cluster-weighted modeling
- Determining the number of clusters in a data set
- Parallel coordinates
- Structured data analysis (statistics)
- Dimensionality Reduction
- Dimensionality reduction
- Curse of dimensionality
- Data mining
- Image Segmentation
- Image segmentation
- Balanced histogram thresholding
- Watershed (image processing)
- Scale-space segmentation
- Range segmentation
- Image-based meshing
- Quantization (image processing)
- Color quantization