Semester: Spring 2008
Course code: G22.3033-006
Instructor: Rob Fergus
Computational Photography is an exciting new area at
the intersection of Computer Graphics and Computer Vision. Through the use
of computation, its goal is to move beyond the limitations of conventional
photography to produce enhanced and novel imagery of the world around us.
The main focus of the course will be on software-based methods for
producing visually compelling pictures. However, it will also cover novel
camera designs, for which computation is integral to their operation. The
course will explain the principles behind many of the advanced tools that
can be found in Adobe Photoshop, although the use of this package itself
is outside the scope of the course. The course will be suitable for
advanced undergraduates, masters and PhD students. A reasonable knowledge
of linear algebra is required and familiarity with Matlab is desirable.
Assessment will be through coursework and a course project.
1. Introduction, image formation and cameras.
2. Sampling & reconstruction, frequency domain.
3. Wavelets, natural scene statistics.
4. Color, demosaicing.
5. Image processing.
6. Image blending & compositing.
7. Image warping & morphing.
8. Non-parametric methods.
10. Deconvolution & deblurring.
11. Depth & defocus.
14. Project presentations.