Inhalt

[ 921PECOCOVV20 ] VL (*)Computer Vision

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M1 - Master 1. Jahr Informatik Oliver Bimber 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Computer Science 2025W
Lernergebnisse
Kompetenzen
(*)Students are familiar with the basics of Computer Vision and its links to machine learning approaches. They understand its applications in domains such as 3D reconstruction, robotics, medical engineering, media technology, automatization, biometry, human-computer interaction, contact free measurement, remote sensing, quality control, etc.
Fertigkeiten Kenntnisse
(*)Basic understanding of:

  • Calibration of and capturing images with digital cameras (optics, sensorics, math. camera model) (K4,K5)
  • Processing images in different domains (spatial, frequency, gradient) (K4,K5)
  • Model-based vs. learning-based approaches to computer vision (K4,K5)
  • Higher-level applications of computer vision to tasks such as classification, segmentation, tracking, and 3D reconstruction (K4,K5)
(*)
  • Capturing Digital Images
  • Digital Image Processing
  • Machine Learning
  • Feature Extraction
  • Segmentation
  • Optical Flow
  • Object Detection
  • Camera Calibration
  • 3D Vision
  • Trends in Computer Vision
  • Basic knowledge in machine learning required
Beurteilungskriterien (*)eExam (Moodle test), physical presence is required
Lehrmethoden (*)Online only (Zoom), recordings, slides.
Abhaltungssprache Englisch
Literatur (*)
  1. Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, ISBN: 1848829345, 2010
  2. Computer Vision – A Modern Approach, Forsyth and Ponce, 2nd edition, Addison Wesley, ISBN-10: 013608592X, 2011
  3. Multiple View Geometry in Computer Vision, Hartley and Zisserman, 2nd edition, Cambridge Press, ISBN: 0521540518, 2003
  4. Pattern Classification, Duda, Hart, and Stork, 2nd edition, Wiley-Interscience, ISBN: 978-0-471-05669-0, 2000
Lehrinhalte wechselnd? Nein
Sonstige Informationen (*)This lecture and the associated lab form an inseparable didactic unit. The learning outcomes presented here are achieved through the combined effect of the two courses.
Äquivalenzen (*)in collaboration with 921PECOCOVU20: UE Computer Vision (1.5 ECTS) equivalent to
921PECOCOVK13: KV Computer Vision (4.5 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung