Difference between revisions of "Stefan Karlsson/PersonalPage/Education/MultiScaleCourse"
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===Course organization=== | ===Course organization=== | ||
− | There will be roughly one new exercise made available to you for every session, and there will be a total of 4 | + | There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Exercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercises. Communication '''WILL NOT''' be done through blackboard. |
=Exercises and sessions(files will be made available shortly)= | =Exercises and sessions(files will be made available shortly)= |
Revision as of 15:52, 13 November 2014
This is the web page for the course Multiscale and Multidimensional Analysis.The course description will be available on the official university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.
Reach us at Stefan.Karlsson(AHTT)hh.se or feralo(AHTT)hh.se for any questions.
News
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Course organization
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Exercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercises. Communication WILL NOT be done through blackboard.
Exercises and sessions(files will be made available shortly)
1. Linear scale space (Stefan) -1 WEEK
- Waveletets (Gabor, Mexican Hat)
- Pyramids (Gaussian, Laplacian, etc.)
- Median filtering
- ONE PRACTICAL ASSIGNMENT ON THIS
2. Directionality analysis (Fernando) -1 WEEK
- Structure tensor, HOGs, Gabor
- Edges, corners
3. Non-linear scale-space (Stefan) -1.5 WEEK
- Variational formulations
- Non-linear filtering
- De-noising
- ONE PRACTICAL ASSIGNMENT ON THIS
4. Feature analysis (Fernando) -1.5 WEEK
- Segmentation, clustering
- Feature extraction, pattern matching and classification
- ONE PRACTICAL ASSIGNMENT ON THIS
5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK
- SIFT
- Viola-Jones
- Perona-Malik
- FINAL PROJECT ASSIGNMENT