Coded aperture papers and extracts of talks
Homework Problem 2 (March 9th)
SAL papers and extracts of talks
SAM papers and extracts of talks
Homework Problem 1 (February 15th)
Some Useful Mathematical Techniques
Quick Review of Eigenvectors and Eigenvalues
Solving over- and under-determined sets of equations
Graduate advanced topics class offered in the Spring 2006 semester. This subject qualifies as a Artificial Intelligence and Applications Engineering Concentration subject. We will study various methods for turning computers into image forming devices.
In many fields, compute-intensive reconstruction methods produce images from raw data that may be considered to be in a coded form. Often the image construction involves inversion of an operation that is simple in the forward direction. Since computing is becoming cheaper and faster, replacing optics, or electromagnetic apparatus, or electronics with computing can be a driving force in some such image forming applications.
A basic understanding of image processing and/or machine vision will be assumed. Familiarity with concepts of linear systems, convolution, and Fourier transforms will be handy.
There will be two lectures a week, and I hope to encourage discussion and student participation. There will be some papers to read, although in some of the areas to be covered there isn't that much written yet. There may be homework problems from time to time.
MIT EECS course web page6.870: Computational Imaging (was 6.881).
Advanced topics class on image formation by computational means.
Examples to be covered include:
• Synthetic Aperture Microscopy
• Coded Aperture Imaging
• Diaphanography or "Diffuse Optical Imaging"
• Exact Cone Beam Reconstruction
May cover other topics according to student interest.
Instructor:
Berthold K.P. Horn
Time: TR 2:30AM-4:00PM
Location: 4-159
Web page:
http://csail.mit.edu/~bkph/courses/6870/6870.html