Fachbereich 6 Mathematik/Informatik

Institut für Informatik


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Computer Vision (Lecture + Practice)
Dozent:Prof. Dr.-Ing. Gunther Heidemann, Ulf Krumnack, Ph.D., Axel Schaffland, M. Sc.
Veranstaltungstyp:Vorlesung (Offizielle Lehrveranstaltungen)
Beschreibung:Prerequisites: Basic Math

Both the rapid growth of image and video data and new applications such as robotics require automated image processing. This course introduces the basic concepts of artificial vision.
Topics: Image acquisition and representation; mathematical background; basic point operations; linear and nonlinear filtering; morphological pattern recognition; color (perceptual aspects and technical representation); gray-, color- and texture-segmentation; image reconstruction and enhancement; object recognition; compression; applications (e.g., image search in databases). A focus is on object recognition, where topics range from simple edge based methods and template matching over traditional approaches like PCA over Boosting, SIFT and SURF to (deep) neural networks.
Ort:01/B01
Semester:WS 2020/21
Zeiten:Di. 14:00 - 16:00 (wöchentlich), Mi. 10:00 - 12:00 (wöchentlich), Do. 10:00 - 12:00 (wöchentlich), Termine am Dienstag. 06.10.20 - Donnerstag. 08.10.20 16:00 - 18:00
Erster Termin:Di , 06.10.2020 16:00 - 18:00, Ort: 01/B01
Veranstaltungsnummer:8.3068
ECTS-Kreditpunkte:12