12 Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces Table of Contents (Back)

Keyword list at end

• 12.1 Point Matching
  • 12.1.1 Correlation Based and Signal Matching Techniques
  • 12.1.2 Template Matching Techniques
    • 12.1.2.1 Deformable Template Matching
  • 12.1.3 Image Registration Techniques
    • 12.1.3.1 Image Registration -- Overview, Survey, Review, Evaluation, Comparison
    • 12.1.3.2 Image Registration -- The Match Technique, Match Measures
      • 12.1.3.2.1 Image Registration, Hierarchical Techniques, Pyramids, Multi-resolution, Recursive
      • 12.1.3.2.2 Image Registration, Fourier Transform, Spectral Domain Matching
    • 12.1.3.3 Image Registration -- Using Edges, Lines, Curves, and Corner and other Features
    • 12.1.3.4 Non-Rigid Image Registration, Deformable Registration, Techniques
    • 12.1.3.5 Image Registration with Subpixel Accuracy
    • 12.1.3.6 Video Registration Techniques, Synchronizing, Synchronization
      • 12.1.3.6.1 Video Copy, Video Duplicate Detection
      • 12.1.3.6.2 Image Copy, Duplicate Image Detection
  • 12.1.4 Image and Sensor Fusion -- General
    • 12.1.4.1 Image and Sensor Fusion -- Review and Survey Articles, Evaluations
    • 12.1.4.2 Information Fusion, Sensor Fusion
    • 12.1.4.3 Image and Sensor Fusion -- IR and Thermal
    • 12.1.4.4 Fusion, Radar Data, SAR Data
    • 12.1.4.5 Fusion, Range and Intensity or Color Data
    • 12.1.4.6 Image and Sensor Fusion for Cartography and Aerial Images, Satellite Images, Remote Sensing
    • 12.1.4.7 Fusion of Medical Data
  • 12.1.5 Change Detection -- Image Level
  • 12.1.6 2-D Points with 2-D Structures, Point Matching, Features
    • 12.1.6.1 Clustering and Accumulation Array Techniques
    • 12.1.6.2 Relaxation Based Techniques
    • 12.1.6.3 Long Sequences, Motion Matching
  • 12.1.7 Principal Component Decompositions, Point features
  • 12.1.8 2-D Points with 3-D Structures
  • 12.1.9 3-D Points with 3-D Structures
    • 12.1.9.1 Point Based Pose Estimation and Recognition
    • 12.1.9.2 Point Pattern Invariants
• 12.2 Matching Linear Features
  • 12.2.1 2-D Lines with 2-D Structure
    • 12.2.1.1 2-D/2-D Lines Accumuation Techniques
  • 12.2.2 2-D Lines with 3-D Structure
    • 12.2.2.1 2-D/3-D Lines Accumuation Techniques
  • 12.2.3 3-D Lines with 3-D Structure
    • 12.2.3.1 3-D/3-D Matching Accumulation Techniques
  • 12.2.4 Line Based Matching for Pose Estimation
• 12.3 Matching, Areas, Regions, Surfaces
  • 12.3.1 2-D Region or Contour Matching
    • 12.3.1.1 Matching, Affine Transformations
    • 12.3.1.2 Region/Contour Matching, Accumulation Based
    • 12.3.1.3 Region or Contour Invariants, Signatures, Metrics for Matching
    • 12.3.1.4 2-D Contour Matching, Indexing or Hashing Techniques
    • 12.3.1.5 Matching Fourier Descriptors, Fourier Shape Descriptors
    • 12.3.1.6 Matching, Descriptions Using Moments
      • 12.3.1.6.1 Moment Computation, Computation of Moments
    • 12.3.1.7 Features for Contour Matching
    • 12.3.1.8 Region Properties for Matching
    • 12.3.1.9 String Matching, Syntatic Matching
  • 12.3.2 Piecewise Segment Matching of Contours
    • 12.3.2.1 Partial Contour Matching, Piecewise Segments
    • 12.3.2.2 Contours Through a Sequence
    • 12.3.2.3 Hierarchical/Scale-Space Contour Matching and Descriptions
  • 12.3.3 Surface Matching, Deformable Surface Matching
  • 12.3.4 Surfaces and Range Data Matching
    • 12.3.4.1 Register 3-D Data, Range Registration, 3-D Correspondence
      • 12.3.4.1.1 Register 3-D LIDAR Data, Profiles
      • 12.3.4.1.2 Register 3-D Surfaces, Mesh Models
      • 12.3.4.1.3 3-D Surface Registration, Range Data Registration for Mosaics and Models
      • 12.3.4.1.4 Surface Registration, Matching, Patch Based, Planar Patches, Planes
      • 12.3.4.1.5 Surface Registration, Sonar, Ultrasound, Acoustic
      • 12.3.4.1.6 Image to 3-D Surface Matching, 2-D to 3-D Matching
    • 12.3.4.2 Range Data Matching -- Accumulation Methods
    • 12.3.4.3 Pose Estimation -- Range Data