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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Projekt Computer Vision [ProjCV]

Summary
This project gives you the chance to learn about current computer vision topics and get practical experience in the field during the exercises. Last semester, the following topics were covered: - Image processing of distance images - Statistical Shape Models - Face Recognition - Super-Resolution - Image Retrieval

Dates & Rooms:
Monday, 12:00 - 14:00; Room: 00.156-113



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

Last semester, the following topics were covered:

  1. Image processing of distance images
  2. Statistical Shape Models
  3. Face Recognition
  4. Super-Resolution
  5. Image Retrieval

Organization

You can register via StudONOpens external link in new window for the Computer Vision Project. 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 Übung 3 / 01.252-128
  • The exercises will talk place in 00.156-113, same time as above.

Please note that the first lecture on April 29th is mandatory for everyone!

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.