Mathematical Foundations of Computer Vision Winter Term 2011/12 |
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Lectures (2h) with exercises (2h), winter term 2011/12
Specialised course in mathematical image analysis,
suitable for students in mathematics, computer science and visual computing programs. Breaking news – Entrance requirements – Contents – Assessments / Exams – References – Download
Regular participation in classroom exercises and regular submission of homework assignments is a prerequisite for admission to the exam (as announced in the lecture). An online registration will be made available.
Undergraduate knowledge of mathematics. For computer science students,
this requirement is met by successful completion of the
This lecture is designed to familiarise students with the mathematical techniques useful for understanding computer vision models and algorithms. Some emphasis is laid on techniques of geometry and calculus in computer vision as well as on the foundations of useful algorithms. Written or oral exams will be scheduled, dependent also on the number of participants. NEWS: The first witten exam takes place on Thursday, February 9, 4-6 pm. in building E 1.3, Lecture Hall 001. You have to register online for the lecture/exam to the general system of Saarland University (HISPOS). It is intended that participants may rely completely on the lecture material. The following books are reasonable (somewhat standard) sources in the field. They are not part of a Semesterapparat as it is not required to study them for following the course. -
Y. Ma, S. Soatto, J. Košecká, S. Shankar Sastry.
*An Invitation to 3-D Vision.*Springer, New York 2004. -
Max K. Agoston.
*Computer Graphics and Geometric Modelling. Mathematics.*Springer, London 2005. -
O. Faugeras.
*Three-Dimensional Computer Vision. A Geometric Viewpoint.*The MIT Press, Cambridge, Massachusetts, 2001. -
E. Trucco, A. Verri.
*Introductory Techniques for 3-D Computer Vision.*Prentice Hall, Upper Saddle River, 1998. -
R. Hartley, A. Zisserman.
*Multiple View Geometry in Computer Vision.*2nd Edition. Cambridge University Press, 2003. -
C. Wöhler.
*3D Computer Vision.*Springer Verlag, Berlin Heidelberg, 2009.
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Participants of the course can download assignment sheets and
example solutions here. Tanja Dorst and Verena Marold have
provided some LaTeX-files that help to put together the example solutions.
Thanks a lot!
Michael Breuß / October 20, 2011 |
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