University Homepage School Homepage School Contacts School Search

Advanced Vision - online notes

• Images, image formation, raw data and representation:
  • General introduction to low level vision
  • General issues on representation
  • Binary images
  • Color images
  • Greyscale images
  • Pixels
  • Pixel Connectivity
  • Images
  • Quantisation, sampling and noise
  • Image formation
  • Perspective projection: Sussex's description or Heriot Watt's description
  • Distance Image Sensing
  • Laser time-of-flight
  • Triangulation range sensing
  • Spectral filtering
• Image processing:
  • Binary Image Processing Intro
  • conservative smoothing
  • averaging smoothing
  • gaussian smoothing
  • median filtering
  • Edge properties
  • Gradient edge detectors
  • Roberts Cross gradient edge detector
  • Sobel Gradient Edge Detector
  • Canny edge detector: HIPR's description or Heriot Watt's description
  • Histograms: HIPR description or Java enhanced description
  • Thresholding:HIPR description or Java enhanced description
  • Thinning
  • Dilation
  • Erosion
  • Convolution: HIPR's description or Sussex's description or Heriot Watt's description
  • Using Convolution for smoothing and edge finding
  • Gaussian masks, scale space and edge detection: Sussex's description
• Feature extraction and description
  • General introduction to middle level vision
  • Edge Grouping Introduction
  • Boundary Connectivity
  • Edge Tracking
  • Boundary representation introduction
  • Parametric boundary representations
  • Region Segmentation Intro
  • Recursive region growing
  • Splitting and Merging
  • Region Representation Introduction
  • Run-length Coding
  • The Medial Axis Transform
  • Quad Trees
  • Surface shape and definitions
  • Mean and Gaussian curvature
  • Exact surface fitting
  • Least-square surface fitting
  • Planar least-square surface fitting
  • Binary Image Properties
  • Classifiers and Decision Trees
  • Moment Invariants
• Hough Transform: HIPR's description or Heriot Watt's description or Sussex's description
• Stereoscopic vision: Sussex's description or Heriot Watt's description
• High Level Vision, Object Recognition and Pose Estimation:
  • Scene labeling
  • Interpretation tree search:Heriot Watt's description or An example running in Java
  • Representing 3D objects using surfaces
  • Representing 3D objects using wire frames
  • 3D Pose estimation

Back to av index page

---

This page is maintained by the course lecturer, Bob Fisher, rbf@inf.ed.ac.uk, room IF 1.26, ext 513441.