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Computer vision

Individual course

Max amount of FITech students: 20

Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.

The course gives an overview of algorithms, models and methods which are used in automatic analysis of visual data.

Course contents

  • Image formation and processing
  • Feature detection and matching
  • Motion estimation
  • Structure-from-motion
  • Object recognition
  • Image-based 3D reconstruction

After the course, the student

  • is familiar with basic concepts and methods of computer vision.
  • understands the basic principles of image-based 3D reconstruction.
  • is familiar with techniques used for automatic object recognition from images.
  • can design and implement common computer vision methods and apply them to practical problems with real-world image data.

The course has lectures, weekly exercises and an exam.

  • Lectures (Online), Mon 10:15-12:00.
  • Exercise sessions (Online), Fri 12:15-14:00.
  • Guidance sessions (Otaniemi), Thu 14:15-16:00.
  • Exam (Otaniemi), Fri 17.12. at 9:00-12:00.

More information on Aalto University’s course page.

You can get a digital badge after completing this course.

konenäkö AI tekoäly kuvan prosessointi visuaalinen data algoritmit

Responsible teacher

Aalto University
Juho Kannala
juho.kannala(at)aalto.fi

Further information about the studies

Aalto University
FITech ICT contact person
fitech-sci(at)aalto.fi

Contact person for applications

FITech Network University
Monica Sandberg
monica.sandberg(at)fitech.io
Start here
Start here
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E4850
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
13.9.–17.12.2021
Application deadline:
Application period has ended
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Blended
Place of contact learning:
Espoo
Language:
English
General prerequisites:
Programming skills and basic knowledge of data structures and mathematics (linear algebra, probability) are necessary.
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