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Course unit, curriculum year 2023–2024
DATA.ML.300

Computer Vision, 5 cr

Tampere University
Teaching periods
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
DATA.ML.300
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Intermediate studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Esa Rahtu
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Core content
  • Image formation
  • Image processing
  • Feature detection & matching
  • Feature based alignment & image stitching
  • Dense motion estimation
  • Structure from motion
  • Stereo and 3D reconstruction
  • Recognition
Learning outcomes
Prerequisites
Further information
Equivalences
Studies that include this course
Completion option 1
Completion of all options is required.

Participation in teaching

08.01.2024 27.02.2024
Active in period 3 (1.1.2024–3.3.2024)

Exam

01.03.2024 01.03.2024
Active in period 3 (1.1.2024–3.3.2024)
25.04.2024 25.04.2024
Active in period 4 (4.3.2024–31.5.2024)