Computer Vision
Preliminary meeting: Thursday, August 29, 2016, 10:15 in room NB 3/57!
Course is full!
Further registrations will be put on a waiting list for WS16/17. Please register @marc-philipp.tschentscher@ini.rub.de stating your name, student id (Matrikelnummer), course of studies and current semester.
The goal of the lab exercise is to introduce to the basics of digital image processing considering current examples of computer vision.
First, a short overview of programming with MATLAB is given. Then the handling of digital images is learned by implementing simple operations like mirroring and tiling. In the next step basic image processing methods, e.g. histogram equalization, image filtering, edge detection or recognition of objects with defined shape, are implemented.
Lecturers
Details
- Course type
- Lab courses
- Credits
- 2 CP
- Term
- Summer Term 2016
Dates
- Preliminary meeting
- Takes place on 29.08.2016 from 10:15 to 11:00 in room NB 3/57.
- Lab course
-
Takes place
every day from 10:00 to 18:00 in room NB 02/77.
First appointment is on 05.09.2016
Last appointment is on 09.09.2016
Documents
| Document | Images for the exercises. |
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210