Fundamentals of Computer Vision with Deep Learning
The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se.
Image acquisition, sampling (pixels) and representation (histogram, color spaces, Fourier Transform)
Image transformations: local & global operators, convolution, filtering (smoothing, sharpening)
Low-level Vision: edges, corners, lines and circles detection, scalar product
Feature extraction and classification:
- Feature Extraction
- Deep Learning and Transfer Learning
- Image Pattern Classification
Computer Vision applications: - Facial analysis: detection and recognition
- In-vehicle vision system: driver drowsiness
- Robot vision systems: human emotion and intention detection
Level:
Advanced level
Application code:
23555
Entry requirements:
Degree of Bachelor of Science in Computer Science and Engineering 180 credits. Programming 7.5 credits and Mathematics (Linear Algebra, Multi-variable Calculus) 7.5 credits. English 6. Exemption of the requirement in Swedish is granted.
Selection rules:
Credits: 100%
Start week:
week: 12
Number of gatherings:
0
Instructional time:
Various times
Tuition fee:
Language of instruction:
Teaching is in English.
Level:
Advanced level
Application code:
23555
Entry requirements:
Degree of Bachelor of Science in Computer Science and Engineering 180 credits. Programming 7.5 credits and Mathematics (Linear Algebra, Multi-variable Calculus) 7.5 credits. English 6. Exemption of the requirement in Swedish is granted.
Selection rules:
Credits: 100%
Start week:
week: 14
Number of gatherings:
0
Instructional time:
Various times
Tuition fee:
Language of instruction:
Teaching is in English.
