This project gives you the chance to learn about current computer vision topics and get practical experience in the field during the exercises. The project covers the following topics:

1. Image processing of distance images
2. Camera calibration and projective geometry
3. Stereo vision and RGB-D imaging
4. Image retrieval / classification
5. Morphological descriptors for multi-spectral images

Organization

During the semester lecture and exercise alternate on a weekly basis. Exercises are supervised and take place in one of the CIP pools. All exercises must be completed. For 10 ECTS credits you are required to implement a state-of-the-art/recently published algorithm selected from one of the topics above.

• Lectures will take place in 00.152
• The exercises will talk place in 0.01-142 (Casa Huber), same time as above.

Credits

You can get either 5 or 10 ECTS credits for this project. The following options are available:

5 ECTS (counts as: Hochschulpraktikum)

This option requires:

• lectures (strongly recommended as they introduce the background required for the exercises)
• exercises (in groups of 2 people) need to be finished on time
• individual presentation about a state-of-the-art research paper at the end of the semester (graded if needed)

10 ECTS (counts as Hochschulpraktikum (5 ECTS) + Forschungspraktikum (5 ECTS), or Master Project Computer Science (10 ECTS))

• lectures (strongly recommended as they introduce the background required for the exercises)
• exercises (in groups of 2 people) need to be finished on time
• individual coding/research project under supervision of a LME PhD student at the end of regular schedule (graded if needed)

Important: You cannot use the lecture/exercise part as a 5 ECTS research project (Forschungspraktikum). Please contact one of the PhD students at the lab if you need a research project.