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Differential Geometric Aspects of Image Processing Summer Term 2015 |
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Differential Geometric Aspects of Image Processing
Lectures (2h) with exercises (1h), summer term 2015
Specialised course in mathematical image analysis,
suitable for students in mathematics and computer science programs. News – Entrance requirements – Contents – Assessments / Exams – References – Download
We moved the lectures to Monday, 12-14, E.17, 4.12
Please register for this course in HISPOS until May 27.
There is NO lecture on June 2.
Start of the lectures:
Registration for the course:
Please remember that you have to register online for the exam in the
HISPOS
system of the Saarland University. Undergraduate knowledge of mathematics. For computer science students, this requirement is met by having completed the Mathematics for Computer Scientists lecture cycle. Mathematical prerequisites which exceed the basic mathematics courses are provided within the lecture. Previous knowledge in either digital image processing or differential geometry is therefore helpful but not required. The course is concerned with modern methods of digital image processing which rely on the differential geometry of curves and surfaces. This includes methods of image enhancement (like smoothing procedures) as well as feature extraction and segmentation (like locating contours using active contour models). The lecture aims at combining theoretical foundation directly with a variety of applications from the above-mentioned fields; the range of topics extends up to recent research problems. An introduction to the relevant concepts and results from differential geometry will be included in the course. Topics include:
The homework assignments are intended to be solved at home and have to be
submitted in the lecture break, or earlier. In order to qualify for the exam
you must obtain 50% of the possible points on average.
Please do not forget to bring your student ID card with you.
Further references will be given during the lecture.
Participants of the course can download the lecture materials here
(access password-protected):
Slides of the lecture
Classroom Exercises
Homework Exercises
Martin Schmidt / July 24, 2015 |
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