Jan Dirk Wegner: Catalogue data in Autumn Semester 2018

Name Prof. Dr. Jan Dirk Wegner
(Professor Universität Zürich (UZH))
I. f. Geodäsie u. Photogrammetrie
ETH Zürich, HIL D 44.2
Stefano-Franscini-Platz 5
8093 Zürich
Telephone+41 44 633 68 08
DepartmentCivil, Environmental and Geomatic Engineering

103-0267-01LPhotogrammetry and 3D Vision Lab Information
Prerequisites: It is suggested that students take the course "Photogrammetrie" at bachelor level before this one.
3 credits2GJ. D. Wegner
AbstractThe 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.
ObjectiveThe 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.
ContentThis 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 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", "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.
103-0274-AALImage Processing
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
3 credits2RJ. D. Wegner
AbstractThe objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing.
ObjectiveUnderstanding core methods and algorithms in image processing and computer vision and the underlying signal processing foundations.
Applying image processing algorithms to relevant problems in photogrammetry and remote sensing.
Content- Image segmentation
The following topics will be covered in the course:
- Properties of digital images
- Signal processing/Sampling
- Image enhancement
- Image restoration: Spatial domain
- Image restoration: Fourier domain
- Color/Demosaicing
- Image compression
- Feature extraction
- Texture analysis
Lecture notesA script will be provided as PDF files on the lecture website.
LiteratureWe suggest the following textbooks for further reading:

Rafael C. Gonzalez, Richard E. Woods
Digital Image Processing
Prentice Hall International, 2008
ISBN: 013168728X

Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods:
Digital Image Processing Using MATLAB
Prentice Hall, 2003
ISBN: 0130085197
Prerequisites / NoticeThe course is accompanied by programming assignments, that need to be completed in order to pass the semester performance.