Institute of Computer Science
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  2. 2022/23 spring
  3. Computational Imaging (LTAT.02.025)
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Computational Imaging 2022/23 spring

  • Pealeht
  • Loengud
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Lecture materials and links

Keep monitoring this page, as material may be updated here.

Panopto: https://panopto.ut.ee/ -> (log into courses to see link)

Attach:Questionnaire2023.docx

Loengud

Lecture 1: Introduction and fast forward PDF

 Overview of class, logistics, discussion of project ideas

Lecture 2: Introduction of Bioimaging PDF

 Multicellular organisms,  evolution, mutation, microscopy, 3D image Reconstruction, ML Pipeline for Bioimaging

Lecture 3: Light Optics and Imaging PDF

 Ray optics, aperture, depth of field, exposure, sensor, noise

Lecture 4: Foundations of Machine Learning PDF

 Imaging, Statistical Machine Learning	

Lecture 5: Computer Vision PDF

Lecture 6: Learning through Backpropagation PDF

Lecture 7: CNN and Families PDF

Lecture 8: Recurrent Neural Networks PDF

Lecture 9: Transformer Neural Networks PDF

Lecture 10: Advance Architectures I PDF

Lecture 11: Advance Architectures II PDF

Lecture 12: Introduction to wave optics and deep optics

 Free-space wave propagation, diffraction limit, end-to-end optimization of optics and image processing using AI

Lecture 13: Phase retrieval and holography

 Phase retrieval, Fourier ptychography, computer-generated holography

Lecture 14: Guest Lecture

 Time-of-flight, single-photon, and non-line-of-sight imaging

Lecture 15: Guest Lecture Imaging black holes

Lecture 16: Guest Lecture

 Emerging sensor technology

Final Exam

Week 10: Final Project - Discussion

Week 11: Final Project - poster or video presentation (Group 1) Final Project - poster or video presentation (Group 2)

Week 12: Final Project - report and code

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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