CVonline: Recognition and Registration Methods

High level vision

1. Classification Methods (see also Distance Metrics and Pixel Classification (Value-to-Label) Transforms)
   
   1. Bayesian
   2. Contextual Methods
   3. Decision Trees, Sequential Classifiers
   4. Discriminating Feature Methods
   5. Fuzzy
   6. k-Nearest Neighbor
   7. Linear and Higher Order Discriminant Functions
   8. Markov Random Field Based
   9. Minimum Distance
   10. Multi-Classifier Fusion
   11. Neural Network and Perceptron Methods (See Neural Networks)
   12. Vector Quantization Based (See general Vector Quantization)
2. Function-based Recognition
3. General Reasoning Methods used in Vision
4. Geometric Model Matching, Feature Correspondence, Shape Correspondence
   
   1. General Matching Control and Search Algorithms
      1. Generate and Test/Hypothesize and Verify
      2. Heuristic Search
      3. Hierarchical Methods/By Parts/Recognition by Components
      4. Interpretation Tree and Other Search Tree Variations
      5. Rule-Based Systems
      6. Theorem Proving
   2. General Matching and Registration Methods
      1. Appearance, Iconic, and View-Based Recognition, Video Google
      2. Boltzmann Machine, Hopfield Network, Simulated Annealing
      3. Constraint-Based Matching
      4. Context
      5. Deformable, Deformable Templates, Elastic Matching
      6. Factorization
      7. Fourier Matched Filter Object Recognition
      8. Generalized Hough Transform (See Generalized Hough Transform)
      9. Geometric Hashing
      10. Image Alignment and Registration (See also Mosaicing)
      11. Iterated Closest Point/Iterative Closest Point
      12. MAPSAC
      13. Model Based Recognition
      14. Multi-Scale Feature Matching
      15. Non-rigid Alignment
      16. Object Category Recognition
          
          1. Bag of Features Models
          2. Structured Models
      17. Object Size/Scale/Distance Estimation
      18. Part Alignment/Pose Estimation
      19. Polygon Matching
      20. Pose Clustering
      21. RANSAC
      22. Relaxation Labeling (See Relaxation)
      23. Softassign algorithm
      24. Structural Description
      25. Template and Cross-Correlation Matching
          1. Gain and Bias Independent
          2. Inverse Compositional Method
   3. Geometric Constraints
   4. Global Methods
5. Identity Verification/Alignment
   
   1. Geometric Feature Proximity
   2. Pose Consistency
6. Model Based Indexing, Invocation
7. Special Feature Matching
   1. 2D to 2D Point Features
      
      1. Proximity Matrices
   2. 2D to 3D Point Features
   3. 3D to 3D Point Features
   4. 2D, 3D Point to Structure Matching
   5. Aspect Graph Matching
   6. Boundary/Contour/Curve/Edge Matching
   7. Line Matching
   8. Property-Based Matching (e.g. moments, eigenvalues, invariants - see Classification Methods)
   9. Optical/Appearance Flow Matching
   10. Polygon Matching
   11. Needle-Map Matching
   12. Region Matching
   13. Surface Matching
   14. Texture Matching or Classification
   15. Volume Matching
8. Syntactic Pattern Matching
   
   1. 1D/String matching
   2. 2D/Pattern Grammars

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