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Course unit, curriculum year 2021–2022
DATA.ML.300

Computer Vision, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2021–23.10.2021)
Active in period 3 (1.1.2022–6.3.2022)
Active in period 4 (7.3.2022–15.5.2022)
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

10.01.2022 27.02.2022
Active in period 3 (1.1.2022–6.3.2022)

Exam

16.09.2021 16.09.2021
Active in period 1 (1.8.2021–23.10.2021)
04.03.2022 04.03.2022
Active in period 3 (1.1.2022–6.3.2022)
28.04.2022 28.04.2022
Active in period 4 (7.3.2022–15.5.2022)