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Computer Vision II: Multiple View Geometry (3D Computer Vision)

IN2228Elective Modules Informatics8 ECTSEnglishsummer semesterDepartment Computer Science
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn the mathematical foundations of multiple-view geometry in order to reconstruct camera motion and 3D geometry from several images. In the end you will understand image formation, epipolar geometry, camera calibration, rank conditions and bundle adjustment and you will be able to implement central algorithms in Matlab.

What you will be able to do

  • Understand the mathematics of image formation and perspective projection
  • Reconstruct camera motion and 3D geometry from images
  • Apply epipolar geometry and the epipolar constraint
  • Utilize the 8-point algorithm and rank/multiview matrices
  • Formulate and understand bundle adjustment
  • Implement basic procedures in Matlab

What the module consists of

  • VorlesungConveying the central concepts of multiple-view geometry
  • Tutorium/ÜbungDeepening through problems, discussions and programming tasks

Teaching method

  • Tutor presentationIntroduction and explanation of the concepts
  • Interactive problem solvingDeepening understanding through exercises
  • DiscussionClarification of open questions and in-depth discussion
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Official page in TUMonline · Details are not binding.