ud810 ยป

Syllabus

1 Introduction

  • 1A Introduction

2 Image Processing for Computer Vision

  • 2A Linear image processing
  • 2B Model fitting
  • 2C Frequency domain analysis

3 Camera Models and Views

  • 3A Camera models
  • 3B Stereo geometry
  • 3C Camera calibration
  • 3D Multiple views

4 Image Features

  • 4A Feature detection
  • 4B Feature descriptors
  • 4C Model fitting

5 Lighting

  • 5A Photometry
  • 5B Lightness
  • 5C Shape from shading

6 Image Motion

  • 6A Overview
  • 6B Optical flow

7 Tracking

  • 7A Introduction to tracking
  • 7B Parametric models
  • 7C Non-parametric models
  • 7D Tracking considerations

8 Classification and Recognition

  • 8A Introduction to recognition
  • 8B Classification: Generative models
  • 8C Classification: Discriminative models
  • 8D Action recognition

9 Useful Methods

  • 9A Color spaces and segmentation
  • 9B Binary morphology
  • 9C 3D perception

10 Human Visual System

  • 10A The retina
  • 10B Vision in the brain