Hauptseminar: Advanced Topics in Computer Vision
Nassir Navab, Wolfgang Wein, and Martin Bauer
Thursday, 16:00h to 18:00h Room 02.13.010
The course language is English.
The semiar follows some chapters from the Book Computer Vision - A Modern Approach
by David A. Forsyth
and Jean Ponce
and in the second part focuses on algorithms for (medical) image registration.
In clinical practice medical imaging is a crucial component of a large number of applications. Usually not only one image modality (imaging device) is used but several (like Computed Tomography, Magnetic Resonance Imaging, Angiography, Ultrasound, or the real patient), providing different kinds of information to physicians. Moreover, medical image data acquired during diagnosis is often used to aid in operations and intraoperative images are revised for follow-up. One of the goals of medical image registration is to merge the different image modalities in order to improve visual judgement for treatment or diagnosis. For instance, injected instruments can be visualized in 3D or tumor positions can be detected, both without opening the patient.
Please send an email to Martin Bauer
, including your favorite topic.
The topics of the seminar will cover major chapters of the book David A. Forsyth & Jean Ponce: Computer Vision: A Modern Approach
. On online version of the book can be found here
| Date || Topic || By || Supervision || Material |
| 21.04.2005 || Einführungsvortrag || Martin Bauer, Wolfgang Wein || || Presentation Howto |
| 28.04.2005 || -- |
| 05.05.2005 || -- |
| 12.05.2005 || -- |
| 19.05.2005 || Pfingstferien |
| 26.05.2005 || Fronleichnam |
| 02.06.2005 || -- |
| 02.06.2005 || Tracking with Linear Dynamic Models || Ivan Borisov || Martin Bauer |
| 09.06.2005 || -- |
| 16.06.2005 || Projective Geometry and Transformations in Space || Bakr Albatran || Wolfgang Wein || Slides|
| 23.06.2005 || Deformable Image Registration Techniques || Tobias Blum || Wolfgang Wein || Slides|
| 30.06.2005 || -- |
| 07.07.2005 || Segmentation: Clustering, Model Fitting and Probabilistic Methods || Christian Scheurle || Martin Bauer |
| 14.07.2005 || Colors and Shading || Hadia Nassri || Martin Bauer |
Colors and Shading
Linear Filters: Edge Detection and Texture
Segmentation: Clustering, Model Fitting and Probabilistic Methods
Tracking with Linear Dynamic Models
- David A. Forsyth, Jean Ponce, Tracking with Nonlinear Models, Chapter 17 from "Computer Vision: A Modern Approach"
- R.E. Kalman, A New Approach to linear Filtering and Prediction Problems, 1960
- A. Gelb (editor), Applied Optimal Estimation
- G. Welch and G. Bishop. An Introduction to the Kalman Filter. Technical Report TR 95-041, University of North Carolina, Department of Computer Science, 1995.
- G. Welch: The Kalman Filter Page
- Neal A Carlson, Federated square root filter for decentralized parallel processors, IEEE Transactions on Aerospace and Electronic Systems, Vol. 26 (3) May 1990, pp. 517-525
- G. Welch: SCAAT: Incremental Tracking with Incomplete Information
- the presentation should be about 45min
- the handout of 8-10 pages (in LaTex, here is a template)
- the outline should be send to the supervisor one month before the presentation
- the presentation slides and handout should be finalized and discussed with the supervisor one week before the presentation here is a template