NDAK15013U  Advanced Topics in Image Analysis (ATIA)

Volume 2017/2018
Content

The purpose of this course is to expose the student to selected advanced topics in image analysis. The course will bring the student up to a level sufficient for master thesis work within image analysis and computer vision.  Focus is not on specific topics, but rather on recent research trends. 

Learning Outcome

Knowledge of

  • Selected advanced topics in image analysis.

 

Skills to

  • Read, review and understand recent scientific papers.
  • Apply the knowledge obtained by reading scientific papers.
  • Compare methods from computer vision and image analysis and assess their potentials and shortcommings.

 

Competences to

  • Understand advanced methods, and to transfer the gained knowledge to solutions to small problems.
  • Plan and carry out self-learning.  
  • Present the result of small assignments in scientific writing.

See Absalon.

You should have passed the courses "Machine Learning"/​“Statistical Methods for Machine Learning” and “Signal and Image Processing”, or similar.
Lectures and assignment work.
Continuous feedback during the course of the semester
Credit
7,5 ECTS
Type of assessment
Written assignment
The report is written during the course.
Electronic submission of individual written report.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners
Re-exam

Resubmission of written report no later than two weeks before the re-exam.

Criteria for exam assesment

See Learning Outcome.

 

  • Category
  • Hours
  • Lectures
  • 14
  • Class Instruction
  • 14
  • Preparation
  • 90
  • Project work
  • 88
  • Total
  • 206