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Computer vision

Individual course

Max amount of FITech students: 20

Persons without a valid study right to a Finnish university have preference to this course.

Course content:

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

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

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.

More information on Aalto University’s WebOodi page.

You can get a digital badge after completing this course.

konenäkö AI tekoäly kuvan prosessointi visuaalinen data algoritmit

Further information about the studies

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

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E4850
Credits:
5 ECTS
Level:
Teaching period:
9.9.–13.12.2019
Application deadline:
2.9.2019
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. Matlab is used in the programming exercises and therefore previous experience with Matlab is beneficial.
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