Difference between revisions of "Stefan Karlsson/PersonalPage/Education/MultiScaleCourse"

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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.
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{{Infobox
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|image        = [[Image:Segmentation-picture.png|200px]]
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|header1 = Multiscale and Multidimensional Analysis
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|header2 = '''Contact:''' [[Fernando Alonso-Fernandez]], [[Stefan Karlsson]]
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}}
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='''Multiscale and Multidimensional Analysis course'''=
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This is the web page for the course '''Multiscale and Multidimensional Analysis'''.
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=== Course information ===
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The course description will be available on the official university site soon.
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Instructors: [[Fernando Alonso-Fernandez]], [[Stefan Karlsson]]
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Class time: The schedule for the course will be made ad hoc, using doodle or by agreement over email.
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Class location: E5.
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Office hours: by appoinment.
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Contact: Stefan.Karlsson(AHTT)hh.se or feralo(AHTT)hh.se.
  
===News===
 
No news yet
 
  
 
===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 exercises including a 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 exercises. Communication '''WILL NOT''' be done through blackboard.  
 
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 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 exercises. Communication '''WILL NOT''' be done through blackboard.  
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=Exercises and sessions (files will be made available before each session)=
 
=Exercises and sessions (files will be made available before each session)=

Revision as of 18:47, 9 January 2015

Segmentation-picture.png
Multiscale and Multidimensional Analysis
Contact: Fernando Alonso-Fernandez, Stefan Karlsson

Multiscale and Multidimensional Analysis course

This is the web page for the course Multiscale and Multidimensional Analysis.

Course information

The course description will be available on the official university site soon.

Instructors: Fernando Alonso-Fernandez, Stefan Karlsson

Class time: The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Class location: E5.

Office hours: by appoinment.

Contact: Stefan.Karlsson(AHTT)hh.se or feralo(AHTT)hh.se.


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 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 exercises. Communication WILL NOT be done through blackboard.


Exercises and sessions (files will be made available before each session)

1. Linear scale space (Stefan): 1 WEEK

  • Waveletets (Gabor, Mexican Hat)
  • Pyramids (Gaussian, Laplacian, etc.)
  • Median filtering

PRACTICAL ASSIGNMENT


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

→ PRACTICAL ASSIGNMENT


4. Feature analysis (Fernando): 1.5 WEEK

  • Feature extraction, pattern matching and classification

→ PRACTICAL ASSIGNMENT


5. Applications for computer vision/object detection (Fernando, Stefan): 1 WEEK

Topics to present will include (but are not restricted to):

  • SIFT
  • Viola-Jones
  • Perona-Malik

→ FINAL PROJECT ASSIGNMENT