The course deals with selected topics of close-range photogrammetry and geometric computer vision, including wide-baseline image matching and reconstruction, dense surface reconstruction, image search and indexing; emphasis is put on reading and self-study and on practical project work, typically in groups.
Objective
The aim of the course is to get to know the methods and practice of close-range photogrammetric reconstruction, and an in-depth understanding of selected topics in modern close-range photogrammetry and computer vision.
Content
This course builds in part on the courses "Photogrammetrie", "Bildverarbeitung" and "Photogrammetrie II" from the Bachelor program. It focusses on the particular challenges of automated close-range photogrammetry.
Lecture notes
Presentation slides, necessary publications and complementary learning materials will be provided through a dedicated course web-site.
Literature
Recommended textbooks: - T. Luhmann. Nahbereichsphotogrammetrie (also available in English ) - R. Hartley and A. Zisserman. Multi-view geometry in computer vision - R. Szeliski. Computer Vision
Prerequisites / Notice
A recommended prerequisite for taking this course are the Bachelor courses "Photogrammetrie", "Bildverarbeitung" and "Photogrammetrie II". If you have not passed them, please contact the main lecturer of the course before enrolling. The course will include both practical work with commercial software, and programming in Matlab.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course