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Projekt Computer Vision (ProjCV)- Lecturers
- Dipl.-Ing. Peter Fürsattel, André Aichert, M. Sc., Thomas Köhler, M. Sc., Tobias Geimer, M. Sc., Dipl.-Inf. Vincent Christlein
- Details
- Praktikum
, ECTS studies, ECTS credits: 10, Sprache Deutsch oder Englisch
Time and place: Mon 12:00 - 14:00, 00.152-113, 0.01-142
- Fields of study
- WPF INF-MA ab 1
WPF MT-MA ab 1
- Prerequisites / Organisational information
- Basic knowledge of image processing is desirable.
In the first session there will be a short recap on image representation and basic image filtering techniques.
However, having visited lectures such as Introduction to Pattern Recognition (IntroPR) or Diagnostic Medical Image Processing (DMIP) might prove beneficial.
Please contact us if you have any questions.
- Contents
- The goal of this master project is to build state-of-the-art software
for different advanced topics in computer vision. During the project you
will learn about basic image processing methods, the foundations of
projective geometry, 3D cameras, super-resolution, tracking, feature
detection and classification.
The project is designed to be completed in two parts:
In the first part, the basics of each topic will be developed in a
group. All participants will create basic tools for certain computer
vision applications.
The following topics will be taught and implemented during the first part:
Basic image processing of grayscale and distance images Pinhole camera and projective geometry Stereo vision and RGB-D imaging Super resolution Image retrieval / Image classification
In the second part each participant will implement a method which
belongs to one of the aforementioned topics. We will provide data or
evaluation setups which allow you to test your own implementations.
- ECTS information:
- Credits: 10
- Additional information
- Keywords: Master Project, Pattern Recognition, Computer Vision
Expected participants: 10, Maximale Teilnehmerzahl: 12
www: http://www5.cs.fau.de/lectures/ws-1718/projekt-computer-vision-projcv/
Registration is required for this lecture.
Die Registration via: persönlich beim Dozenten
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2017/2018:
- Hochschulpraktikum/Academic Laboratory (HoSchuPra)
- Projekt Mustererkennung (ProjME)
- Department: Chair of Computer Science 5 (Pattern Recognition)
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