6.870 Computational Imaging (was 6.881)
Spring 2012
Instructor: Berthold Klaus Paul Horn
TA: Surat Teerapittayanon
Lecture: TR2.30-4 (4-159)
Information:
Graduate advanced topics class. 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.
Examples to be covered include:
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Synthetic Aperture Microscopy
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Coded Aperture Imaging
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Diaphanography or "Diffuse Optical Imaging"
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Exact Cone Beam Reconstruction
May cover other topics according to student interest.
Material covered
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