Course Schedule Fall 2024

Python based exercises with teaching assistants 8-10. Lectures 10-12. The lectures are a combination of lectures and quizzes. The lectures will be streamed and recorded and made available on DTUs video streaming platform panopto.

For the exercises, we are in the group-exercise rooms 096-099 and 108a+b. They are on the first floor of building 306, through the doors opposite the main stair case.
The lectures take place in building 306 auditorium 33.

You can see the presentation slides and recorded lectures from the last semester(s). They will be updated during the semester and the new one will be available before the relevant lecture.

Updates to the schedule can happen.

# Date Topic Video Material Exercise
1 3/9 Introduction to image analysis (Rasmus)
Introduction to Principal Component Analysis (PCA) (Rasmus)
Stream MIA 1, 2, app. A.
PCA Note (except Section VI (SVD) and App. A)
1
2 10/9 Cameras, lenses, image compression, image storage and change detection in videos (Rasmus) Stream MIA 2, 3 +
CDV Note
1 + 1b
3 17/9 Pixelwise operations, Colour images.
PCA Analysis on images (Rasmus)
Stream MIA 4, 8
Eigenfaces article (only sections marked with yellow)
2 + 2b
4 24/9 Neighborhood Processing (Filtering) and Morphology (Tim) Stream

Recordings Fall 2023
MIA 5, 6 3 + 8
5 1/10 Blob analysis and object classification (Rasmus) Stream MIA 7 4 + 4b
6 8/10 Pixel classification and advanced classification (Tim) Stream

Recordings Fall 2023
MIA 9 + LDA note on Learn 5
7 22/10 Industry presentations:
Radiobotics
Dalux
Videometer
IHfood
JLIVision
FOSS Analytics
Novo
  none Exercise catch-up
8 29/10 Geometric transformations and landmark based registration (Tim) Stream

Recordings Fall 2023
MIA 10, 11 6
9 5/11 Boundary Tracing (Hough Transformation and Dynamic Programming) (Tim) Stream

Recordings Fall 2023
MIA 12 6b
10 12/11 Advanced registration (Tim) Stream

Recordings Fall 2023
Notes on DTU Learn 7
11 19/11 Real time face detection using the Viola Jones method (Rasmus) Stream Rapid Object Detection using a Boosted Cascade of Simple Features 9
12 26/11 Advanced topics (Claes Nøhr Ladefoged) Stream none Digital test exam and exercise catch-up
13 3/12 Statistical models of shape and appearance and active shape models (Rasmus) Stream Statistical Models of Appearance for Computer Vision (p. 12 - 20 and p. 29 - 43) Exercise catchup

Book (MIA): Rasmus R. Paulsen og Thomas B. Moeslund. Introduction to Medical Image Analysis. Springer Nature.

Note (CDV): Thomas B. Moeslund and Rasmus R. Paulsen. Change Detection in Videos. (2022).