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.
- Introduction and fast-forward preview of all topics Unlimited
- Modern optics and lenses; Unlimited
- Epsilon Photography Unlimited
- Single-shot Multi-domain Camera (guest lecture by Roarke Horstmeyer) Unlimited
- Computational Illumination: dual photography, relighting Unlimited
- Lightfields, part 1 Unlimited
- Recent research Unlimited
- Recent research: BiDi Screen (guest lecture by Matt Hirsch) Unlimited
- Wavelengths and colors (guest lecture by Ankit Mohan) Unlimited
- Survey of Hyperspectral Imaging Techniques (guest lecture by Michael Stenner, MITRE) Unlimited
- Computational imaging Unlimited
- Cameras We Cannot Pictur Unlimited
- Coded imaging Unlimited
- Wishlist for photography Unlimited
About the instructor