# Computational Camera and Photography

- Institution: Massachusetts Institute of Technology
- Department: Media Arts and Sciences
- Teacher: Prof. Ramesh Raskar
- Term: Fall 2009
- Level: Graduate
- Language: English
- Subjects: Computer science, Engineering, Society and politics, Art, architecture and design
- Source: [MIT OpenCourseWare](https://ocw.mit.edu/courses/mas-531-computational-camera-and-photography-fall-2009/)
- Licence: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (Non-commercial use only.)
- Syllabus: [at the source](https://ocw.mit.edu/courses/mas-531-computational-camera-and-photography-fall-2009/pages/syllabus/)
- Readings: [at the source](https://ocw.mit.edu/courses/mas-531-computational-camera-and-photography-fall-2009/pages/readings/)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

A computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. In this course we will study this emerging multi-disciplinary field at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded — beyond those present in traditional photographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized.

We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes. We will learn about the complete camera pipeline. In several hands-on projects we will build physical imaging prototypes and understand how each stage of the imaging process can be manipulated.

## Lectures

1. [Lecture 1: Introduction and fast-forward preview of all topics - Part 1](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/362566ec4aa2) (Video)
2. [Lecture 1: Introduction and fast-forward preview of all topics - Part 2](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/8932b57173cb) (Video)
3. [Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 1](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/e546cda4d7b7) (Video)
4. [Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 2](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/95f0a0898265) (Video)
5. [Lecture 3: Epsilon Photography: Improving Film-like Photography](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/29dbe46e0209) (Video)
6. [Lecture 3: Single-shot Multi-domain Camera](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/b5f46fd0b557) (Video)
7. [Lecture 4: Computational Illumination: dual photography, relighting - Part 1](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/b1a009f08ec3) (Video)
8. [Lecture 4: Computational Illumination: dual photography, relighting - Part 2](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/697aa9fe20a3) (Video)
9. [Lecture 5: Lightfields, part 1 - Part 1](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/16c17eef6bd6) (Video)
10. [Lecture 5: Lightfields, part 1 - Part 2](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/0df5237508c4) (Video)
11. [Lecture 5: Recent research: Retrographic Sensing for the Measurement of Surface Texture and Shape](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/df7a683ed5dc) (Video)
12. [Lecture 6: Recent research: BiDi Screen](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/c4e0b6b36a58) (Video)
13. [Lecture 6: Lightfields, part 2](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/849313e5bf28) (Video)
14. [Lecture 6: Cameras for human-computer interaction (HCI)](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/ddd524e79c60) (Video)
15. [Lecture 8: Project ideas discussion](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/26b717fd2897) (Video)
16. [Lecture 8: Wavelengths and colors](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/34cac4b757d3) (Video)
17. [Lecture 8: Survey of Hyperspectral Imaging Techniques](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/3db512ea60f9) (Video)
18. [Lecture 9: Computational imaging: a survey of medical and scientific applications](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/337f9bbad648) (Video)
19. [Lecture 9: "Cameras We Cannot Picture": a survey of the computational imaging field](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/cba172a3bcbf) (Video)
20. [Lecture 11: Coded imaging](https://invisiblenetwork.ai/learn/mit/mas-531-computational-camera-and-photography-fall-2009/b869432b4a4c) (Video)