Inhalt
[ 921PECOCOVU20 ] UE Computer Vision
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 1,5 ECTS |
M1 - Master's programme 1. year |
Computer Science |
Oliver Bimber |
1 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Master's programme Computer Science 2025W |
| Learning Outcomes |
Competences |
| Practical implementation of lecture content (K3). See corresponding lecture.
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| Skills |
Knowledge |
| Practical implementation of lecture content (K3). See corresponding lecture.
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Practical implementation of lecture content (K3). See corresponding lecture.
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| Criteria for evaluation |
4 Assignments (related to Lecture Topics)
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| Methods |
Online only (Zoom), recordings, slides.
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| Language |
English |
| Study material |
- Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, ISBN: 1848829345, 2010
- Computer Vision – A Modern Approach, Forsyth and Ponce, 2nd edition, Addison Wesley, ISBN-10: 013608592X, 2011
- Multiple View Geometry in Computer Vision, Hartley and Zisserman, 2nd edition, Cambridge Press, ISBN: 0521540518, 2003
- Pattern Classification, Duda, Hart, and Stork, 2nd edition, Wiley-Interscience, ISBN: 978-0-471-05669-0, 2000
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| Changing subject? |
No |
| Further information |
This lab and the associated lecture form an inseparable didactic unit. The learning outcomes presented here are achieved through the combined effect of the two courses.
Basic Python programming skills are required.
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| Corresponding lecture |
in collaboration with 921PECOCOVV20: VL Computer Vision (3 ECTS) equivalent to
921PECOCOVK13: KV Computer Vision (4.5 ECTS)
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| On-site course |
| Maximum number of participants |
24 |
| Assignment procedure |
Direct assignment |
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