*13.1 Matching, Volumes, 3-D**13.2 Combined Feature Matching**13.3 Graph Matching and Relaxation**13.3.1 Graph Matching Theoretical Issues**13.3.2 General Structure and Graph Representation and Matching, Relations, Neighbors**13.3.3 Matching Graphs and 3-D Network Descriptions**13.3.4 Graph Matching, Neural Networks, Hopfield Networks**13.3.5 Graph Matching, Continuous Relaxation, Constraint Satisfaction**13.3.6 Discrete Relaxation Methods**13.3.7 Matching Using "Tree" Searching Techniques**13.3.8 Basic Comparison of Relational Network Descriptions**13.3.8.1 Evidence Theory, Combination Techniques, Optimization Techniques**13.3.8.2 Maximum Likelihood Estimation, Classification**13.3.8.3 Energy Minimization, Energy Maximization Computation, Function Solving**13.3.8.4 Optimizations**13.3.8.5 Regression**13.3.8.6 MRF Optimization, Energy Minimization**13.3.8.7 Computational Complexity Issues**13.3.8.8 Ant Colony Optimization, Bee Colony Optimization**13.3.8.9 Bayesian Networks, Bayes Nets**13.3.8.10 Graph Edit Distance, Tree-Edit Distance**13.3.8.11 Graph Clustering, Cilque Generation**13.3.8.12 Graph Embedding Clustering**13.3.8.13 Linear Prediction Techniques**13.3.8.14 Random Field Models for Structure Matching*

*13.3.9 Structural Matching for Computer Vision*

*13.4 Object Recognition, General Techniques**13.4.1 Invariants -- Eigen Representations, General Appearance Based Methods**13.4.1.1 Other Sparse Coding, Invariants**13.4.1.2 Other, Kernel Methods, Invariants**13.4.1.3 Active Appearance Models: AAM**13.4.1.4 Invariants -- Principal Component Analysis**13.4.1.5 Invariants -- ICA, Independent Component Analysis**13.4.1.6 Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant**13.4.1.7 Surveys, Comparisons, Evaluations, Principal Components**13.4.1.8 Learning for Principal Components, Eigen Representations**13.4.1.9 Computation and Analysis of Principal Components, Eigen Values, SVD**13.4.1.10 Faces using Invariants, Appearence models -- Eigenfaces*

*13.4.2 Three-Dimensional Matching Using Hashing/Indexing**13.4.3 Model Based Recognition Systems**13.4.4 3-D Object Recognition from Pose Estimation or Alignment**13.4.5 Object Recognition Evaluation**13.4.6 Object Recognition, Retrieval Datasets*

*13.5 General Spatial Reasoning and Geometric Reasoning Issues**13.6 Knowledge-Based Vision**13.6.1 General Issues -- Knowledge-Based Vision**13.6.2 ACRONYM and SUCCESSOR Papers - Stanford University and Others**13.6.3 University of Massachusetts VISIONS System**13.6.4 Constraint Based Matching**13.6.5 Rule-Based or Expert Systems for Recognition**13.6.6 Recognition by Function**13.6.7 Integration of Vision Modules, Select Operations, Sequence Operations**13.6.8 Context in Computer Vision**13.6.9 Annotation, Captioning, Image Captioning*

*13.7 General References for Matching**13.8 Other Feature Matching Techniques*

Last update:Feb 20, 2020 at 21:34:09