Credits: 5

Schedule: 26.02.2019 - 10.04.2019

Teacher in charge (valid 01.08.2018-31.07.2020): 

Petri Rönnholm

Contact information for the course (applies in this implementation): 

Petri Rönnholm

Teaching Period (valid 01.08.2018-31.07.2020): 

IV (spring term)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

To understand and apply homogeneous coordinates and projective geometry for solving the main tasks of photogrammetry. To understand Structure-from-Motion and Dense Matching. To understand dynamic applications of photogrammetry. To understand Optical Flow, tracking of moving objects and image-based navigation. To recognize industrial applications of photogrammetry.

Content (valid 01.08.2018-31.07.2020): 

This course gives a computer vision perspective on solving main tasks in photogrammetry, especially by applying homogeneous coordinates and projective geometry. The contents highlight possibilities of automation in photogrammetry by utilizing latest algorithms to find orientations of images and to create photogrammetric 3D point clouds. The course includes also a seminar part in which the recent developments of photogrammetry and computer vision are illustrated.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Examination, seminar and assignments

Workload (valid 01.08.2018-31.07.2020): 

Lectures (18 h), assignments (60 h), self-study (30 h), preparation for examination + examination (27 h)

Details on calculating the workload (applies in this implementation): 

20 h lectures

assignments 68 h

work 20 h

for exam 27 h

Study Material (valid 01.08.2018-31.07.2020): 

Lecture notes and additional literature

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Maa-57.3140 Analyyttinen Fotogrammetria II (4 op) OR Maa-57.3150 Digitaalinen fotogrammetria II (4 op)

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

It is recommended (but not mandatory) to take courses GIS-E1020 From Measurements to Maps, GIS-E1040 Photogrammetry, Laser Scanning and Remote Sensing, GIS-E3010 Least-Squares Methods in Geoscience and GIS-E3020 Digital Image Processing and Feature Extraction before participating in this course.

Grading Scale (valid 01.08.2018-31.07.2020): 



Registration and further information