Lecture: Distributed Algorithms for Image and Video Processing

Content

The lecture discusses topics in the context of image/video processing and 3D graphics. Master Business Informatics students or diploma students are welcome to join this course. We will learn how to create, to modify, and to analyze images and videos automatically. Novel technologies and projects are presented like RoboCup or Grand Challenge, and we will also discuss novel sensors like Kinect from Microsoft. 

Dates and RoomLecture:  Thursday, 12:00-13:30, Building A 5, C112

Exercises: Wednesday, 15:30-17:00, Building A 5, C112

Preliminary discussion: Wednesday, 15.02.12, 08:30-10:00, Building A 5, C112

Additional
documents
Lecture slides, exercise sheets, and additional documentation can be found here (password protected). 
Hours per week 4  (2 lecture, e exercises)
 
Exam
 
You will get 6 ECTS points for the course. The type of exam (oral or written) will be announced soon. 

DescriptionMaster students and Diploma students may joint this course. Topics cover algorithms to generate, process, and analyze images and videos:

1. Introduction to computer graphics

2. Efficient algorithms to draw lines, ellipses, polygons

3. Image processing (remove noise, adapt contrast, detect edges, seam carving, high dynamic range images)

4. Content analysis of images

5. Algorithms for video processing and analysis

6. Applications (RoboCup, Grand Challenge, new research topics)

 
The lecture does not require specific previous knowledge. 
 
LanguageGerman or English (as preferred)

ExercisesWe will discuss exercise sheets to improve the understanding of the algorithms. 

Lecturer Dr. Stephan Kopf
 Department of Computer Science IV 
 Building A5, 6, floor 2
 Phone  0621 181-2613
 

 

 

 

 

 

 

Examples of the content

Color space representation
Edge detection
Image transformations
Panoramic images / Color reduction
High dynamic range images (HDR)
Optical character recognition (OCR)
RoboCup (Source: robocup2006.org)