Vision Systems

Dr A D Marshall
Room M 1.38
 
World Scientific 1992
David Marshall 1994

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Vision Systems Courseware

 

• Copyright
  
  
  • Image Acquisition
    
    
    • 2D Image Input
      
      
      • 2D Input Devices
        
      • Frame Stores
      
      
    • 3D imaging
      
      
      • The 3D Image -- Depth Maps
        
      • Why use 3D data?
        
      • Introduction to Stereo Imaging -- Theory
        
      • Methods of Acquisition
        
      • Our Active Stereo Vision System
    
    
  • Image processing
    
    
    • Fourier Methods
      
      
      • What do frequencies mean in an image?
        
      • Fourier Theory
        
      • Convolution
        
      • Fourier Transforms and Convolutions
        
      • The Fast Fourier Transform Algorithm
      
      
    • Smoothing Noise
      
      
      • Fourier Space Smoothing Methods
        
      • Real Space Smoothing Methods
    
    
  • Edge Detection
    
    
    • Representing Lines
      
    • Extracting Edges from Images
      
    • Detecting Edge Points
      
      
      • Gradient based methods
        
      • Second Order Methods
    
    
  • Edge Linking
    
    
    • Local Edge Linking Methods
      
    • Hough Transforms
    
    
  • Segmentation
    
    
    • Region Splitting
      
    • Region Growing
      
    • Statistical Region Description
      
    • Invariant Measures
    
    
  • Line Labelling
    
    
    • Introduction
      
      
      • Assumptions
        
      • Junction Types
        
      • Labelling an Image
    
    
  • Relaxation Labelling
    
    
    • Statistical Relaxation Techniques
    
    
  • Optical Flow
    
    
    • Introduction
      
    • Optical Flow Constraint Equation
      
    • Further Constraints
      
    • Finding the Optical Flow
    
    
  • Object Recognition
    
    
    • Introduction
      
    • Invariants
      
    • Extended Gaussian Images
      
    • Geometric Modelling for Computer Vision
      
      
      • Wireframe Models
        
      • Set-Theoretic Modelling
        
      • Boundary Representation
        
      • Desirable Model Properties for Vision
      
      
    • Model Based Recognition
      
      
      • Tree Search Methods
        
      • Relaxation Labelling Methods
        
      • Graph Searching
  
  
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