DESCRIPTION

3D images are an integral part of scientific imaging, used, e.g., in:

  • Biomedical imaging (e.g., CT MRI scans)
  • 3D microscopy
  • Geophysical Prospecting.

Furthermore, special types of 3D imaging, notably stereo, are routinely used in 3D cinema and 3DTV.

This CVML Web Module focuses on 3D Imaging and its applications. Introduction to 3D Image Processing is presented first. Various 3D image/data acquisition techniques are presented, notably Active and Passive 3D shape reconstruction methods, 3D Medical Image Acquisition, 3D Image Processing and 3D Geometry (surface and volume) Modeling are treated as well. 3D Image Registration is very important in medical imaging. Finite Element Method for Stress Analysis is important in mechanical and biomedical engineering. Finally, 3D Image and Shape Compression, 3D Video Coding and Broadcasting, 3D Image and Video Quality are issues of great interest in 3D cinema and 3DTV.

3D road scene.

 

LECTURE LIST

  1. Introduction to 3D Image Processing
  2. Active and Passive 3D shape reconstruction methods
  3. 3D Image Processing
  4. 3D Geometry Modeling
  5. 3D Image Registration
  6. Finite Element Method for Stress Analysis
  7. 3D Image and Shape Compression
  8. 3D Video Coding and Broadcasting
  9. 3D Image and Video Quality
CVML WEB LECTURE MODULE SCHEDULE

This module has been designed to be mastered within 1 month (or less), if you have proper background (at least early undergraduate student in an EE, ECE, CS, CSE or any Engineering or Exact Sciences Department).
We propose that you follow the above mentioned  Lecture order. You may want to skip few Lectures that might not be of immediate interest to you for later study.

On average you can study 4 lectures per week. The related effort is as follows:
1) Lecture pdf study and filling the related understanding questionnaire: 1-2 hours per lecture (on average, depending on your background)
2) Tutorial exercise (if available): 1/2 hour on average (more if you do not have theoretical skills). We strongly recommend to try solve them yourself, before resorting to the existing solution.
3) Programming exercise (if available): 3-4 hours on average (more if you do not have good programming skills). We strongly recommend to try program them yourself, before resorting to the existing code.

The following lectures are accompanied by programming or tutorial exercises:

  1. 3D Image Processing (1 Programming Exercise)

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