I. Image formation and low-level vision
Camera models
Light and color
Linear filters and edges
Feature extraction
Optical flow and feature tracking
II. Grouping and fitting
Least squares fitting, robust fitting
RANSAC
Alignment, image stitching
III. Geometric vision
Camera calibration
Epipolar geometry
Two-view and multi-view stereo
Structure from motion
IV. Recognition and beyond
Statistical learning framework
Image classification
Deep convolutional neural networks
Segmentation
Object detection
Other advanced topics