Lectures

All lectures are online webinars (no recording)

Lecture 1, week 9, Tue 02.03., 14:15-16:00, Introduction, examples, Homogeneous geometry (Petri)

Lecture 2, week 9, Wed 03.03, 10:15-12:00, Homogeneous geometry in photogrammetry, camera models (Petri)

Lecture 3. week 10, Tue 09.03, 14:15-16:00, Expressing photogrammetric tasks with homogeneous geometry (Petri)

Lecture 4. week 10, Wed 10.03., 10:15-12:00, Visual SFM, semi-global matching (Petri)

Lecture 5. week 11, Tue 16.03., 14:15-16:00, Dynamic applications of photogrammetry (Petri)

Lecture 6. week 11, Wed 17.03., 10:15-12:00, Student presentations of recent development in photogrammetry and computer vision

Lecture 7. week 12, Tue 23.03., 14:15-16:00, Applying Machine Vision to Field Robotics. Quest lecturer: Heikki Hyyti

Lecture 8. week 12, Wed 24.03., 10:15-12:00, In-line measurements in automotive manufacturing. Quest lecturer: Valtteri Tuominen

Lecture 9. week 13, Tue 30.03., 14:15-16:00, Special methods (Petri)

Lecture 10. week 13, Wed 31.03., 10:15-12:00, Neural networks in photogrammetry (Petri)

Seminar, week 14, Tue 6.4., 14:15-16:00. Student presentations

Seminar, week 14, Wed 7.4., 10:15-12:00 Student presentations

Examination Wed 14.4., 9-12. Online exam in MyCourses

Assignments:

1. Wiki-collection of recent developments in photogrammetry and computer vision (and presentation), DL 17.3. (by the presentation)

2. Matlab-task: Solving camera parameters and Fundamental matrix, DL 1.4.

3. Photogrammetric modeling and data source integration, DL 9.4.

4. Seminar

All assignments must be completed and accepted to get a grade from the course


Bonus (only if the examination is passed: 15/30 points):
–If all assignments are returned in time and ”with distinction”, you’ll get +2 point in examination
–Seminar presentation is graded with range of 0-3 and is added to examination points (+3 increases grade with one)

Last modified: Monday, 22 February 2021, 2:35 PM