Multiple View Geometry 

in Computer Vision

Instructor: Marc Pollefeys
comp290-89 Spring 2003

Tuesdays and Thursdays from 11:00-12:15 in SN011

Schedule & slides
  • Class 01 (Jan   7) [ppt]  Motivation and Fast Forward 
  • Class 02 (Jan   9) [ppt]  2D Projective Geometry
  • Class 03 (Jan 16) [ppt]  2D Projective Geometry (continued)
  • Class 04 (Jan  21)[ppt]  3D Projective Geometry
  • Class 05 (Jan 28) [ppt]  Estimation (2D homography)
  • Class 06 (Jan 30) [ppt]  Estimation (continued)
  • Class 07 (Feb  4) [ppt]  Algorithm Evaluation
  • Class 08 (Feb 6)  [ppt]  Camera models 
  • Class 09 (Feb 11)[ppt]  Camera calibration
  • Class 10 (Feb 13)[ppt]  More on single view geometry
  • Class 11 (Feb 18)[ppt]  The epipolar geometry
  • Class 12 (Feb 20)[ppt]  3D reconstruction
  • Class 13 (Feb 25)[ppt]  Computing the F matrix
  • Class 14 (Feb27) [ppt]  More on computing F
  • Class 15 (Mar 4)  [ppt]  Rectification and structure reconstruction
  • Class 16 (Mar 6)  [ppt]  Planes and homographies  
  • Class 17 (Mar 18)[ppt]  The Trifocal Tensor 
  • Class 18 (Mar 20)[ppt]  Three-view computation
  • Class 19 (Mar 25)[ppt]  Multiple View Tensors
  • Class 20 (Mar 27) Project proposals presentation
  • Class 21 (Apr 1)  [ppt]  Self-Calibration
  • Class 22 (Apr 3)  [ppt]  Self-Calibration and Multi-View Reconstruction
  • Class 23 (Apr 8)  [ppt]  Multi-View Reconstruction
  • Class 24 (Apr 10)[ppt]  Multi-View Reconstruction 
  • Class 25 (Apr 15)[ppt]  Degeneracies, duality and orientation

Assignment 1 (due Feb.13) [doc]
Assignment 2 (due Mar. 19)[doc]  (corner_detector.m)
 
[course page]

Marc Pollefeys, April 10, 2003.