Workload:
180 h
|
Module Number INFO-4161 |
Module Title Image Processing II (3D-Computer-Vision) |
Lecture Type(s) Lecture, Tutorial |
|---|---|---|
| ECTS | 6 | |
|
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
| Duration | 1 Semester | |
| Frequency | In the summer semester | |
| Language of instruction | German | |
| Type of Exam | Written exam (oral exam if the number of participants is small), grade can be improved by practice points (bonus). Minimum score in exercises required for admission to the exam. |
|
| Content | Topics include: Feature Point Extraction, Correlation and Matching, Epipolar Constraint, Fundamental Matrix, Camera Position Calculation, Image Warping, Optical flow and Dense Correspondence Matching. |
|
| Objectives | The students know the basic procedures for reconstructing 3D scenes from images and video recordings and can implement them. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
4.0
wt
90
g
100
Tutorial
Ü
o
2
2.0
|
|
| Prerequisite for participation | There are no specific prerequisites. | |
| Lecturer / Other | Schilling | |
| Literature | Vorlesungsfolien werden zum Download bereitgestellt |
|
| Last offered | Sommersemester 2022 | |
| Planned for | Sommersemester 2025 | |
| Assigned Study Areas | INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-VIS, MEDZ-MEDTECH, ML-CS | |