Seminars, projects and guided research
We offer a regular master seminar (4 CP) and project (8 CP) each semester. In addition, guided research (8-12 CP) can be performed at any time. Just contact us!
A broad range of topics is offered usually each semester. Selected topics include, but are not limited to:
- Algorithms and methods for camera tracking, object recognition, pose estimation, etc.
- Rigid and non-rigid 3D reconstruction
- Virtual, Augmented, or Mixed Reality: Algorithms, applications, current trends
- Computer Vision and mobile Augmented Reality on consumer devices
- Realistic Rendering
- Marker-less object detection, recognition and tracking in video sequences
- Multi-target tracking
- Marker-less human body tracking in video sequences
- Deep Learning for Computer Vision: Theories and applications
- Motion Estimation
- Scene Understanding
- Car interior perception
- Range sensing
- Medical applications, visual diagnostics
- Current applications and trends
Students who plan to take a seminar or project should at least have successfully completed one of the following lectures:
- Lecture "3D Computer Vision"
- Lecture "2D Image Processing"
- Lecture "Very Deep Learning"
Seminar/Project "2D Image Processing & Augmented Reality"
- Offered each winter semester
Seminar/Project "3D Computer Vision & Augmented Reality"
- Offered each summer semester
- Can be performed within one semester (like the project) with any topic from our field.
- The amount of credit points (between 8 and 12) will be individually agreed upon with your supervisor.
Organization and Registration
Seminars and projects are usually performed throughout the semester. A suitable topic and supervisor (from the Augmented Vision Department) are found within a Kick-Off meeting scheduled at the beginning of the semester at DFKI. If you want to participate, please email to av-seminar-projekt(at)dfki.de in order to subscribe to our mailing list. If you want to perform a guided research, just an email too.
Winter Semester 2020/2021
Online Kick-Off: October 26th (Mail with Instructions and list of available topics)
Online Intermediate Presentation: January 11th till 15th
Online Final Presentation: March 15th till 19th
M. Sc. René Schuster [Link]
Prof. Didier Stricker [Link]
Educational objectives of the seminar:
- become acquainted with a specific topic from the respective field
- review scientific articles
- prepare and give a comprehensive presentation of a specific topic supported by media
- discuss a scientific topic
Educational objectives of the project and guided research:
- investigate, design, implement, and evaluate algorithms and methods in the respective area
- review, analyze and benchmark algorithms and procedures
- apply an object oriented programming language (e.g. C++)
- become acquainted with and apply existing software libraries
- apply development, source code management and testing tools
Requirements for certificate:
- Intermediate presentation/demonstration of state and initial results and discussion round (5 minutes + 5 minutes questions).
- Final presentation/demonstration and discussion round (15 minutes + 5 minutes questions).
- Attendance of and contribution to all meetings.
- Seminar: Written survey paper (8 pages) introducing the topic, describing the studied approach and discussing it (e.g. what are advantages/disadvantages, what are the requirements, under which conditions are good/bad results to be expected, what could be extensions/improvements, etc.).
- Project: Written paper describing the project (no upper/lower page limit) and documented source code. The paper should be a scientific paper (no source code description), i.e. introduce the problem, your requirements, describe the approach, evaluate it, compare it.
- Guided Research: Comparable to project. In addition, this should result in a scientific publication that could be submitted to a conference.
- Documentation materials should be submitted at the day of the presentation (unless otherwise agreed upon with the individual supervisor). Please email the written report and presentation slides to your supervisor and to av-seminar-projekt(at)dfki.de.
- For both, presentation and written paper, please use the provided templates and keep the evaluation criteria in mind.
Course proceedings of past semesters:
- SS 2020 (3D Computer Vision & Augmented Reality)
- WS 2019/20 (2D Image Processing & Augmented Reality)
- SS 2019 (3D Computer Vision & Augmented Reality)
- WS 2018/19 (2D Image Processing & Augmented Reality)
- SS 2018 (3D Computer Vision & Augmented Reality)
- WS 2017/18 (Image Processing & Augmented Reality)
- SS 2017 (3D Computer Vision & Augmented Reality)
- WS 2016/17 (Image Processing & Augmented Reality)
- SS 2016 (3D Computer Vision & Augmented Reality)
- WS 2015/16 (Computer Vision: Object and People Tracking)
- SS 2015 (3D Computer Vision & Augmented Reality)
- WS 2014/15 (Computer Vision: Object and People Tracking)
- SS 2014 (3D Computer Vision & Augmented Reality)
- WS 2013/14 (Computer Vision: Object and People Tracking)
- SS 2013 (3D Computer Vision & Augmented Reality)
- WS 2012/13 (3D Computer Vision & Augmented Reality)