Learn · Computational Camera and Photography
Lecture 17 of 20Audio Lectures
Lecture 8: Survey of Hyperspectral Imaging Techniques
Prof. Ramesh Raskar · Massachusetts Institute of Technology
Credits and licence
- From
- Computational Camera and Photography, Massachusetts Institute of Technology (at MIT OpenCourseWare)
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
- Attribution
- Prof. Ramesh Raskar. Computational Camera and Photography. Fall 2009. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- Lecture 1: Introduction and fast-forward preview of all topics - Part 1
- Lecture 1: Introduction and fast-forward preview of all topics - Part 2
- Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 1
- Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 2
- Lecture 3: Epsilon Photography: Improving Film-like Photography
- Lecture 3: Single-shot Multi-domain Camera
- Lecture 4: Computational Illumination: dual photography, relighting - Part 1
- Lecture 4: Computational Illumination: dual photography, relighting - Part 2
- Lecture 5: Lightfields, part 1 - Part 1
- Lecture 5: Lightfields, part 1 - Part 2
- Lecture 5: Recent research: Retrographic Sensing for the Measurement of Surface Texture and Shape
- Lecture 6: Recent research: BiDi Screen
- Lecture 6: Lightfields, part 2
- Lecture 6: Cameras for human-computer interaction (HCI)
- Lecture 8: Project ideas discussion
- Lecture 8: Wavelengths and colors
- Lecture 8: Survey of Hyperspectral Imaging Techniques
- Lecture 9: Computational imaging: a survey of medical and scientific applications
- Lecture 9: "Cameras We Cannot Picture": a survey of the computational imaging field
- Lecture 11: Coded imaging