Cenek Albl: Catalogue data in Autumn Semester 2021

Name Dr. Cenek Albl
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
103-0267-01LPhotogrammetry and 3D Vision Lab
Prerequisites: It is suggested that students take the course "Photogrammetrie" at bachelor level before this one.
3 credits2GC. Albl
AbstractThe aim of the course is to provide a hands-on experience with close-range photogrammetry. The students will go through all aspects of 3D reconstruction starting with the image acquisition, camera calibration, automatic sparse geometry reconstruction, and eventually produce a final textured 3D model.
ObjectiveThe aim of the course is to familiarize the students with both the practical aspects of close-range photogrammetric reconstruction and the theoretical foundations behind them. After passing the course, the students should be able to plan the image acquisition, perform the camera calibration, build a structure-from-motion pipeline using modern open-source libraries, produce a 3D model, and improve its quality.
ContentThis course builds in part on the courses "Photogrammetrie" and "Bildverarbeitung" from the Bachelor program. It focuses on the particular challenges of automated close-range photogrammetry. The students will obtain their own images using their own cameras/smartphones, learn how to perform the camera calibration, implement some key and interesting parts of the automatic reconstruction pipeline and learn how to avoid and address common issues in 3D reconstruction.
Lecture notesPresentation slides, necessary publications and complementary learning materials will be provided through a dedicated course web-site.
LiteratureRecommended textbooks:
- T. Luhmann. Nahbereichsphotogrammetrie (also available in English )
- R. Hartley and A. Zisserman. Multi-view geometry in computer vision
- R. Szeliski. Computer Vision
Prerequisites / NoticeA recommended prerequisite for taking this course are the Bachelor courses "Photogrammetrie" and "Bildverarbeitung". 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 Python.