1. Model-based vision
- Projective geometry
- Camera models and calibration
- Two-view geometry
- Multi-view 3D reconstruction
- Numerical computation I
- Numerical computation II
2. Exempler-based vision
- Introduction to machine learning I
- Introduciton to machine learning II
- Feed-forward neural networks
- Training neural networks
- Convolutional neural networks
Announcement
- If you want to receive credits for this course, you must submit all the assignments before 10th Aug. You may submit via email to okatani[at]vision.is.tohoku.ac.jp.