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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Projekt Computer Vision [ProjCV]

Summary
The goal of this master project is to build state-of-the-art software for different advanced topics in computer vision. During the project you will learn about basic image processing methods, the foundations of projective geometry, 3D cameras, super-resolution, tracking, feature detection and classification. The project is designed to be completed in two parts: In the first part, the basics of each topic will be developed in a group. All participants will create basic tools for certain computer vision applications. The following topics will be taught and implemented during the first part: - Basic image processing of grayscale and distance images - Pinhole camera and projective geometry - Stereo vision and RGB-D imaging - Super resolution - Image retrieval / Image classification In the second part each participant will implement a method which belongs to one of the aforementioned topics. We will provide data or evaluation setups which allow you to test your own implementations.

Dates & Rooms:
Monday, 12:00 - 14:00; Room: 0.01-142



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.