Seminar Computer Vision (SemCV)5 ECTS
(englische Bezeichnung: Seminar Computer Vision)
(Prüfungsordnungsmodul: Seminar im Masterstudium)
Modulverantwortliche/r: Andreas Maier
Lehrende:
Vincent Christlein
Startsemester: |
SS 2020 | Dauer: |
1 Semester | Turnus: |
unregelmäßig |
Präsenzzeit: |
30 Std. | Eigenstudium: |
120 Std. | Sprache: |
Englisch |
Lehrveranstaltungen:
Inhalt:
This Seminar discusses individual algorithms and applications of Computer Stereo Vision.
The goal of this seminar is to provide an overview of the algorithms involved in extracting geometric information, notably depth, from two digital images.
Individual topics cover one specific aspect of such a system, ranging from the geometry and calibration of a single camera, feature detection and description, feature matching and the estimation of epipolar geometry, to rectification and disparity estimation, as well as view interpolation.
In the beginning of the term, there will be two introductory classes about projective geometry and the pinhole camera model. The final presentations will be blocked in two or three days some time at the end of the semester.
Lernziele und Kompetenzen:
The students
perform literature research based on a given scientific article
independently study the topic based on the found literature
present the given topic in a manner that is understandable for their peers
get to know the requirements of a scientific talk at an international conference
give a talk in English and gain language competence
Literatur:
Hartley R. and Zisserman A.: "Multiple View Geometry in Computer Vision", Cambridge University Press, 2004
Weitere Informationen:
Schlüsselwörter: computer vision, pinhole camera model
www: http://www5.cs.fau.de/lectures/ss-20/seminar-computer-vision-semcv/
Studien-/Prüfungsleistungen: