Course Outline


  • April 04 - Introduction to Computer Vision      [T&V   Chapter 1]
  • April 06 - Human Visual System, Cues and Illusions
  • April 11 - Image Formation, Cameras, Projections and Rigid-body Transformations      [T&V   Chapter 2, pages 26-40]
  • April 13 - Rigid-body Transformations, Camera Calibration and Lenses
  • April 18 - Radiometry (Lighting and Shading)      [T&V   Chapter 2, pages 16-26]
  • April 20 - Color      [Gonzalez and Woods: Chapter 6 on e-reserves, Basics of Color, An FAQ on Color]
  • April 25 - Binary Image Processing      [Robot Vision by Horn, Chapters 2 and 3 on e-reserves]
  • April 27 - Filtering      [T&V, Chapter 3, pages 55-63]
  • May 02 - Edge Detection      [T&V, pages 67-81]
  • May 04 - Hough Transform      [T&V, pages 97-100]
  • May 09 - Generalized Hough Transform + Line Fitting
  • May 11 - Midterm
  • May 16 - Stereo (Introduction)      [T&V, pages 140-171]
  • May 18 - Stereo (Epipolar Geometry)
  • May 23 - Stereo (Window-based methods + Dynamic Programming + Helmholtz)
  • May 25 - Photometric Stereo      [Forsyth and Ponce, Chapter 5, pages 80-86 on e-reserves]
  • May 30 - Motion Field      [T&V, pages 191-198]
  • June 01 - Optical Flow      [T&V, pages 191-198]
  • June 06 - Recognition (PCA, Eigenfaces and Fisherfaces)      [Forsyth and Ponce, Chapter 22 on e-reserves]
  • June 08 - Appearance-Based Recognition      [T&V, pages 262-270]
  • June 15 - Final Exam

  • Last updated June 13, 2006.