Timetable

3D Vision Lectue Timetable

The lecture normally takes place in blocks on Monday from 14:00 – 18:00 (c.t.) and Wednesday from 15:00 to 17:00 (c.t.) in FAV Hörsaal 1 (Favoritenstr. 9-11, ground floor room: HEEG02). The first lecture will be held on March 7 and is available also as stream on TUWEL. The tutorial associated with the course will start on 4/20/20. A listing of the course content follows:

  • 7.3.22, Unit 1: Organizational matters, goals of the course
    • Organizational matters: Goals of the course
    • Introduction: What is Machine Vision, Robot Vision, General Purpose Computer Vision.
  • 7.3.22, Unit 2: Image Acquisition 1
    • Rehearsal: General Purpose Computer Vision
    • Image Acquisition: Human Eye, Camera Obscura, Geometry,
      Lenses & DOF
  • 9.3.22, Unit 3: Image Acquisition 2
    • Rehearsal: Image Acquisition 1
    • Image Formation:  Radiometry, Cameras, Sampling theorem, Image converter, Real Cameras
  • 14.3.22, Unit 4: Camera Calibration; organizational: lab exercise procedure
    • Organizational matters: lab exercise procedure
    • Rehearsal: Image Acquisition 2
    • Camera Calibration: Camera Parameters, Linear Calibration, Non-linear Calibration, Tsai, Calibration from 2D Motion
  • 14.3.22, Unit 5: Range Scanner 1
    • Rehearsal: Camera Calibration
    • Range Scanner: Introduction, Time of Flight Range Finder, Laser radar
  • 16.3.22, Unit 6: Range Scanner 2
    • Rehearsal: Range Scanner 1
    • ToF Range Scanner: Interferometry, Ultrasound / IR Range Finder
    • Triangulation Range Scanner: Structured Illumination, Point of light technique, Light-stripe technique, Simultaneous projection of several light stripes, Binary- and Color-coded light-stripe technique
  • 21.3.22, Unit 7: Range Scanner 3
    • Rehearsal: Range Scanner 2
    • Range Scanner: Examples for Range Scanner, Range Finder Evaluation, Range Finder Applications, Summary
  • 21.3.22, Unit 8: Shape from Monocular Images:
    • Rehearsal: Range Scanner 3
    • Shape from Shading: Reflectance Map, Shape Determination Methods, Photometric Stereo, Polarized Light
    • Shape from Texture: Statistical Methods, Structural Methods.
    • Shape from Geometry
  • 23.3.22, Unit 9: Shape from Stereo 1:
    • Rehearsal: Shape from Monocular Images
    • Shape from Stereo: Stereo in Entertainment Industry, Epiopolar Geometry, Rectification
  • 28.3.22, Unit 10: Shape from Stereo 2:
    • Rehearsal: Stereo Geometry
    • Shape from Stereo 2: Correspondence Analysis, Constraints in Stereo Matching, Hierarchical Stereo Matching, Active Stereo
  • 28.3.22, Unit 11: Shape from Multiple Images: 
    • Rehearsal: Shape from Stereo 2
    • Shape from Focus / Defocus
    • Shape from Motion: FOE, FOC, Motionfield, Motionfield Analysis, Optical Flow
  • 30.3.22, Unit 12: Registration
    • Rehearsal: Shape from Multiple Images
    • Registration: Alignment, Target-based registration, Surface Based Registration, Iterative Closest Points (ICP) & Variants, Registration Software and Tools
  • 4.4.22, Unit 13: Space Carving / Shape from Silhouette
    • Rehearsal: Registration
    • Space Carving
    • Shape from Silhouette
    • Visual Hull
  • 4.4.22, Unit 14: Volume Scanners / Medical 3D Imaging
    • Rehearsal: Space Carving / Shape from Silhouette
    • Volume Scanners: X-Ray Computed Tomography (CT), Magnet Resonance Imaging (MRI), Nuclear Imaging: Positron Emission Tomography (PET), Ultrasound Tomography
  • 4.4.22, Unit 15: 3D Printing
    • Rehearsal: Volume Scanners / Medical 3D Imaging
    • 3D Printer: 3D Printing in General, 3D Printing Techniques, 3D Printers, Discussion
  • 27.4.21, 15:00 – 16:30 Examination:
    • Written examination, closed book
    • Registration: on-line via TUWIS