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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