Computer Vision Lecture Notes

Acknowledgements: Most of this course is based on the excellent course offered by Prof. Shree Nayar at Columbia University. Please acknowledge the original source when reusing these slides for academic purposes.

• Introduction

• Cameras and Imaging

  • Image Formation and Optics
  
  
  • Image Sensing
  
  

• Signal and Image Processing

  • Binary Images
  
  
  • Image Processing and Filtering I
  
  
  • Image Processing and Filtering II
  
  
  • Image Resampling and Pyramids
  
  
  • Edge Detection
  
  
  • Boundary Detection and Hough Transform
  
  

• Physics of the World

  • Radiometry and Surface Reflectance
  
  
  • Lightness and Retinex
  
  
  • Photometric Stereo
  
  
  • Shape from Shading
  
  

• 3D Geometry

  • Binocular Stereo I
  
  
  • Binocular Stereo II
  
  
  • Optical Flow and Motion
  
  
  • Structured Light and Range Imaging
  
  
  • Polyhedral Objects and Line Drawings
  
  

• Statistical Techniques

  • Linear Least Squares
  
  
  • Principal Components Analysis I
  
  
  • Principal Components Analysis II
  
  

• Current Trends and Challenges in Vision

  • Novel Cameras and Displays
  
  
  • Open Challenges