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Course unit, curriculum year 2022–2023
DATA.ML.300

Computer Vision, 5 cr

Tampere University
Teaching periods
Active in period 2 (24.10.2022–31.12.2022)
Active in period 3 (1.1.2023–5.3.2023)
Active in period 4 (6.3.2023–31.5.2023)
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

09.01.2023 27.02.2023
Active in period 3 (1.1.2023–5.3.2023)

Exam

24.11.2022 24.11.2022
Active in period 2 (24.10.2022–31.12.2022)
03.03.2023 03.03.2023
Active in period 3 (1.1.2023–5.3.2023)
27.04.2023 27.04.2023
Active in period 4 (6.3.2023–31.5.2023)