Reading
Overview / Basic Concepts (LV c1)
Color Theory / Visual Perception (LV c4,c5)
Learning From Data (DL c5)
Image Collections / Digital Images (LV c6,c7)
Projective Geometry / Camera Calibration (HZ p0 / HZ p1)
Stereo (HZ p2)
Filters / Classical Basis (LV c2 / FW c2)
Multiscale / Wavelets (FW c4,c5,c6,c7)
Image Analysis / RANSAC (SZ c4)
Representation Learning (DL c6)
CNN Architectures (DL c9)
Generative Models / GANS (DL c20)
LV - Image Processing For Computer Graphics and Vision
DL - Deep Learning
FW - From Fourier Analysis to Wavelets
SZ - Computer Vision: Algorithms and Applications
HZ - Multiple View Geometry in Computer Vision