Difference between revisions of "Stefan Karlsson/PersonalPage/Education/MultiScaleCourse"
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=Exercises and sessions(files will be made available shortly)= | =Exercises and sessions(files will be made available shortly)= | ||
| − | 1. Linear scale space (Stefan) -1 WEEK | + | 1. Linear scale space (Stefan) -1 WEEK |
- Waveletets (Gabor, Haar) | - Waveletets (Gabor, Haar) | ||
| Line 20: | Line 20: | ||
- ONE PRACTICAL ASSIGNMENT ON THIS | - ONE PRACTICAL ASSIGNMENT ON THIS | ||
| − | 2. Directionality analysis (Fernando) -1 WEEK | + | |
| + | 2. Directionality analysis (Fernando) -1 WEEK | ||
- Structure tensor, HOGs, Gabor | - Structure tensor, HOGs, Gabor | ||
| Line 27: | Line 28: | ||
| − | 3. Non-linear scale-space (Stefan) -1.5 WEEK | + | 3. Non-linear scale-space (Stefan) -1.5 WEEK |
- Variational formulations | - Variational formulations | ||
| Line 37: | Line 38: | ||
- ONE PRACTICAL ASSIGNMENT ON THIS | - ONE PRACTICAL ASSIGNMENT ON THIS | ||
| − | 4. Feature analysis (Fernando) -1.5 WEEK | + | |
| + | 4. Feature analysis (Fernando) -1.5 WEEK | ||
| + | |||
- Segmentation, clustering | - Segmentation, clustering | ||
| + | |||
- Feature extraction, pattern matching and classification | - Feature extraction, pattern matching and classification | ||
| + | |||
- ONE PRACTICAL ASSIGNMENT ON THIS | - ONE PRACTICAL ASSIGNMENT ON THIS | ||
| − | 5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK | + | |
| + | 5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK | ||
| + | |||
- SIFT | - SIFT | ||
| + | |||
- Viola-Jones | - Viola-Jones | ||
| + | |||
- Perona-Malik | - Perona-Malik | ||
| + | |||
- FINAL PROJECT ASSIGNMENT | - FINAL PROJECT ASSIGNMENT | ||
Revision as of 11:42, 11 November 2014
This is the web page for the course Multiscale and Multidimensional Analysis.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.
Reach me at Stefan.Karlsson@hh.se for any questions.
News
No news yet
Course organization
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises 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 excercieses. 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, Haar)
- 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
