4 Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar

Keyword list at end

• 4.1 Regularization Theory and Practice
• 4.2 Connectionist Approaches to Computer Vision
• 4.3 Morphology
  • 4.3.1 Morphology - General, Surveys
  • 4.3.2 Morphology - Theory
    • 4.3.2.1 Morphological Operator Decomposition, Implementation
    • 4.3.2.2 Color Morphology, Gray Scale Morphology
    • 4.3.2.3 Morphology for Range and 3-D data
    • 4.3.2.4 Shock Filters
  • 4.3.3 Morphology - Techniques and Applications
• 4.4 Scale Space and Multi-Scale Techniques
  • 4.4.1 Scale Space for Descriptions
  • 4.4.2 Scale Space Computation of Features
    • 4.4.2.1 Filters in Scale Space
  • 4.4.3 Scale Space Theory
    • 4.4.3.1 Scale Space -- Lindeberg References
• 4.5 Diffusion Process, Diffusion Operators, Mechanism, or Technique
  • 4.5.1 Diffusion Process, Survey, Overview
  • 4.5.2 Diffusion Process for Enhancement, Restoration and Smoothing
• 4.6 General Computational Vision
• 4.7 Physics Based Vision
• 4.8 Perceptual Grouping, Perceptual Organization Techniques, Saliency
  • 4.8.1 Perceptual Grouping, Saliency, Theory
  • 4.8.2 Perceptual Grouping, Saliency, General Systems
    • 4.8.2.1 Perceptual Grouping, Saliency, Neural Networks, Learning
  • 4.8.3 Grouping, Lines and Curves
    • 4.8.3.1 Contour Completion, Subjective Contours
  • 4.8.4 Grouping, Figure-Ground, Background, Foreground
• 4.9 Sensors for Machine Vision, Image Sensors
  • 4.9.1 Infrared Sensors, Thermal Sensors
  • 4.9.2 Light Field Cameras and Analysis
    • 4.9.2.1 Light Field Compressed Sensing
    • 4.9.2.2 Light Field Depth Estimation
  • 4.9.3 Complex Log Mapping, Algorithms and Sensors
  • 4.9.4 Hilbert Scan, Image Scan Order, for Compression and Representation
  • 4.9.5 Other Space Variant Sensors and Models
  • 4.9.6 Optical Sensors for Machine Vision
    • 4.9.6.1 Omnidirectional and Panoramic Sensors
      • 4.9.6.1.1 Catadioptric Cameras
  • 4.9.7 Space Based, Satellite Sensors
  • 4.9.8 Depth, Range Sensors for Machine Vision
    • 4.9.8.1 Laser Sensors for Range, Time of Flight
    • 4.9.8.2 Single-Photon Imaging, Single Photon
    • 4.9.8.3 Acoustic, Sonar Sensors for Range, Underwater Acoustic Sensing
  • 4.9.9 Electron Microscope Images and Sensors
  • 4.9.10 Phase Unwrapping, Stereo Depth unwrapping
  • 4.9.11 Phase Retrieval
  • 4.9.12 Beamforming in SAR and Radar Analysis
• 4.10 Image Representation Techniques
  • 4.10.1 Wavelet Representations
    • 4.10.1.1 Wavelets, Surveys, Reviews, Overviews, Evaluations, General
    • 4.10.1.2 Wavelets Filter Design, Bases, Basis, and Implementations
      • 4.10.1.2.1 Wavelets Filters, Parallel, Hardware Implementations
    • 4.10.1.3 Wavelets, Mallat Papers
    • 4.10.1.4 Wavelets for Curves and Surfaces
    • 4.10.1.5 Using Wavelets for Detection, Recognition, Fusion
    • 4.10.1.6 Wavelets for Image Compression, Image Coding
      • 4.10.1.6.1 Wavelets for Image Coding, Compression -- Block, Region and Shape Based
      • 4.10.1.6.2 Wavelets for Image Coding -- Zero Tree Code
      • 4.10.1.6.3 Wavelets for Image Coding, Compression -- Quantization Issues
      • 4.10.1.6.4 Lossless, Reconstructions from Wavelet Coded Images
      • 4.10.1.6.5 Wavelet Lifting Operator, Transform
      • 4.10.1.6.6 Wavelet Coding, Compression Applications, Hardware
    • 4.10.1.7 Wavelets for Motion and Video Coding
    • 4.10.1.8 Noise Removal, Wavelet Techniques
  • 4.10.2 Curvelet Transform
  • 4.10.3 Fractal Representations, Fractal Dimension
    • 4.10.3.1 Fractal Based Coding and Compression, Fractal Coding, Fractal Compression
• 4.11 Color and Its Use in Computer Vision
  • 4.11.1 Color, General Issues
  • 4.11.2 Color Models, Color Representation
    • 4.11.2.1 Computational Models of Color, Computer Based Color Models
    • 4.11.2.2 Colorization, Gray, Color-to-Gray, Color Models
    • 4.11.2.3 Color Transfer, Color Enhancement, Color Correction
    • 4.11.2.4 Reflections and Color Models, Reflectance
    • 4.11.2.5 Color Correction, Weather Effects
    • 4.11.2.6 Rain Removal, Color Correction
      • 4.11.2.6.1 Single Image Rain Removal, Color Correction
      • 4.11.2.6.2 Rain Drop Removal, Raindrop Detection
    • 4.11.2.7 Snow Removal
    • 4.11.2.8 Haze, Dehazing, Color Correction
      • 4.11.2.8.1 Single Image Dehazing
      • 4.11.2.8.2 Fog Removal, Defogging
    • 4.11.2.9 Underwater Imaging, Color Correction, Restoration
    • 4.11.2.10 Color Sensors, Sensor Models
  • 4.11.3 Infrared Imagery Analysis
  • 4.11.4 Polarization Effects, Polarized Light
  • 4.11.5 Color Constancy, Retinex
    • 4.11.5.1 Retinex
    • 4.11.5.2 Color Constancy, Recognition, Simon Fraser Univ. (Funt and Finlayson) Papers
    • 4.11.5.3 Color Constancy, Recognition, Healey Papers
  • 4.11.6 Recognition by Color Indexing
    • 4.11.6.1 Histogram Matching, Histogram Comparisons
• 4.12 Radar, SAR Analysis
  • 4.12.1 Radar, Extraction of Features, Segmentation
  • 4.12.2 SAR, Generation, Image Construction, Reconstruction
    • 4.12.2.1 Highly Squinted Radar, Highly Squinted SAR
    • 4.12.2.2 Radar Calibraion
    • 4.12.2.3 Radar Super Resolution, SAR Super Resolution
    • 4.12.2.4 Bi-Static Radar, Bi-Static SAR
    • 4.12.2.5 Interference Mitigation, Radars, SAR
    • 4.12.2.6 Jamming Mitigation, Radars, SAR
    • 4.12.2.7 MIMO Radars, Analysis, Use
    • 4.12.2.8 Automotive Radar, Automotive MIMO Radars, Analysis, Use
    • 4.12.2.9 Phased Array Radars, Analysis, Use
    • 4.12.2.10 PolSAR, Polarimetric, Polarimetry, Radar Polarization
    • 4.12.2.11 Motion Compensation for Radar
  • 4.12.3 Radar, Speckle Analysis and Removal, Speckle Reduction, Despeckle
  • 4.12.4 Radar, SAR, Autofocus, Focus
  • 4.12.5 Radar, SAR, Microwave Scattering Models
  • 4.12.6 Spotlight Radar, Spotlight SAR
  • 4.12.7 Interferometric SAR Analysis, InSAR, IFSAR, ISAR
    • 4.12.7.1 Tomography, SAR Tomography, Tomographic SAR, TomoSAR
    • 4.12.7.2 Spaceborne Interferometric SAR, Satellite Based
    • 4.12.7.3 Polarimetric Interferometric SAR, PolInSar
    • 4.12.7.4 Interferometric SAR, Moving Targets, Maneuvering Targets, Motion Effects
  • 4.12.8 Slope, Shape and Depth from Radar and SAR
    • 4.12.8.1 SAR, Radar Altimetry
    • 4.12.8.2 Surface Deformation From SAR, InSAR, IFSAR, Interferometry
      • 4.12.8.2.1 SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter
      • 4.12.8.2.2 Surface Deformation From SAR Applied to Mine Subsidence
      • 4.12.8.2.3 Mine Reclamation, Mine Remediation, Restoration, Mining Restoration
      • 4.12.8.2.4 Surface Deformation, Subsidance From SAR Applied in Urban, City Areas
  • 4.12.9 Microwave Sensors and Analysis