| LECTURE SCHEDULE, NOTES, SLIDES |
READINGS, EXERCISES, etc |
Cameras and Image Formation
- overview
- perspective projection, slant & tilt
(slides)
 
(notes)
- camera translation, vanishing points
(slides)  
(notes)
- camera rotation, homogeneous coordinates
(slides)  
(notes)
- camera extrinsics and intrinsics
(slides)  
(notes)
- thin lens model, focus
(slides)  
(notes)
- radiometry, surface reflectance
(slides)  
(notes)
- camera response, color
(slides)  
(notes)
|
Exercises 1
Assignment 1
 
solution  and  
common mistakes
Midterm quiz (lectures 1-8),
solutions
(mean: 7.5/10)
|
Image Processing
- convolution
(slides)  
(notes)
- 1D Canny edge detection
(slides)  
(notes)
- 2D edge detection, second moment matrix
(slides)  
(notes)  
- Harris corners, image registration
(slides)  
(notes)
- scale space: 1D images
(slides)  
(notes)
- scale space: edges, corners, bars, boxes
(slides)  
(notes)
- scale space: SIFT, coarse-to-fine registration
(slides)  
(notes)
- finding lines & vanishing points (least squares, Hough, RANSAC)
(slides)  
(notes)
|
 
Assignment 2
(PDF) 
(code) 
 (images)
 
Solutions
 
(PDF)
 (code)
|
3D Scene Inference
- shape from shading
(slides)  
(notes)
- shape from
texture
(slides) , depth from defocus
(slides) (no notes)
- least squares, singular value decomposition
(slides)  
(notes)
- camera calibration
(slides)  
homographies 1
(slides)
 
(combined notes)
-
homographies 2, rectification
(slides)  
(notes)
- structure from motion: factorization
(slides)  
(notes)
- stereo 1 (epipolar constraints)
(slides)  
(notes)
- stereo 2 (correspondence)
(slides)  
(notes)
- review for final exam
(slides)  
|
 
Exercises 2
Assignment 3
(PDF) 
(starter
code)  
(common
mistakes) 
(solution
code)
Assignment 4
(PDF) 
(code and
images)
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