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. Hough Forest
    7. K-Nearest Neighbor
    8. Linear and Higher Order Discriminant Functions
    9. Markov Random Field Based
    10. Minimum Distance
    11. Multi-Classifier Fusion
    12. Neural Network and Perceptron Methods (See Neural Networks)
    13. Sparse Coding
    14. 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. Inverse Compositional Method
      12. Iterated Closest Point/Iterative Closest Point (ICP)
      13. MAPSAC
      14. Model Based Recognition
      15. Multi-Scale Feature Matching
      16. Non-rigid Alignment
      17. Object Category Recognition
        1. Bag of Words/Features
        2. Probabilistic Latent Semantic Analysis
        3. Structured Models
        4. Subcategory Recognition
        5. Vocabulary Tree
      18. Object Size/Scale/Distance Estimation
      19. Part Alignment/Pose Estimation
      20. Polygon Matching
      21. Pose Clustering
      22. RANSAC
      23. Relaxation Labeling (See Relaxation)
      24. Softassign algorithm
      25. Structural Description
      26. 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. Spatial Pyramid Matching
    14. Surface Matching
    15. Texture Matching or Classification
    16. Volume Matching
  8. Syntactic Pattern Matching
    1. 1D/String matching
    2. 2D/Pattern Grammars

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