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!
Seminar/Project "3D Computer Vision & Augmented Reality"
- Offered each summer semester
- Selected topics from the field, e.g.:
- Algorithms and methods for camera tracking, object recognition, pose estimation, etc.
- Rigid and non-rigid 3D reconstruction
- Augmented Reality applications, current trends
- Computer Vision and mobile Augmented Reality on consumer devices
- Realistic Rendering
- Required knowledge: Lecture "3D Computer Vision"
Seminar/Project "Computer Vision: Object and People Tracking"
- Offered each winter semester
- Selected topics from the field, e.g.:
- Marker-less object detection, recognition and tracking in video sequences
- Multi-target tracking
- Marker-less human body tracking in video sequences
- Current applications and trends
- Required knowledge: Lecture "Computer Vision: Object and People Tracking"
- 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.
Dr. Oliver Wasenmüller [Link]
Prof. Didier Stricker [Link]
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. Please note the corresponding dates at here. If you want to participate, please email to Oliver.Wasenmueller[at]dfki.de in order to register. If you want to perform a guided research, just an email too.
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 (20 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 (6-10 pages) 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.
- 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 all (source) files to your supervisor and to Oliver.Wasenmueller[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 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)