(Winter 2022)
Course homepage http://web.stanford.edu/class/cs231a/index.html
- Problem set 0
- Basic Matrix/Vector Manipulation (skipped)
- Basic Image Manipulations
- Singular Value Decomposition
- Problem set 1
- Projective Geometry Problems
- Affine Camera Calibration
- Single View Geometry
- Problem set 2
- Fundamental Matrix Estimation From Point Correspondences
- Matching Homographies for Image Rectification
- The Factorization Method
- Triangulation in Structure From Motion
- Problem set 3
- Space Carving
- Representation Learning
- Supervised Monocular Depth Estimation
- Unsupervised Monocular Depth Estimation (skipped)
- Tracking with Optical and Scene flow
- Problem set 4
- Extended Kalman Filter with a Nonlinear Observation Model
- From Monocular to Stereo Vision
- Linear Kalman Filter with a Learned Inverse Observation Model
See reference solutions at https://github.com/mikucy/CS231A (Solutions for problems 1.3, 2.1 have inaccuracies. Problem set 4 and half of 3 is different, from 2018y.)