Description

Computational imaging has fueled the rapid developments of many application systems, including mobile phones, autonomous vehicles, VR/AR devices, consumer electronics, robots, microscopes, and telescopes. This course discusses essential concepts and critical applications of computational imaging. 

Topics 

1. Introduction to Computational Imaging [slide]

2. Light [slide]

3. Digital Photography (optics) [slide]

4. Digital Photography (sensor) [slide]

5. Digital Photography (ISP) [slide]

6. Visual Perception (eye, color) [slide]

7. Visual Perception (resolution, depth) [slide]

8. Optics (ray) [slide]

9. Optics (PSF) [slide]

10. Appearance [slide]

11. Shape [slide]

12. Rendering [slide]

13. Calibration [slide]

14. Inverse Problems (convex) [slide]

15. Inverse Problems (neural) [slide]

16. Multi-view Geometry and Imaging [slide]

17. Wave Optics and Holography [slide]

18. Polarimetric Imaging [slide]

19. Time-of-flight Imaging [slide]

20. Hyperspectral Imaging [slide]

21. Global Illumination [slide]

22. Differentiable Imaging and Display [slide]

23. Light Transport Matrix [slide]