|Organizers||Dr. Salman Can, Dipl.-Inf. Brian Jensen, Dipl.-Inf. Christoph Staub.|
|Preliminary Talk||10.07.2012 from 14:00 to 15:00 in room 03.07.023|
|Time & Location|| 11.01.2013 from 9:00 - 12:00 in room 03.07.023
16.01.2013 from 12:00 - 15:00 in room 03.07.023
22.01.2013 from 9:00- 12:00 in room 03.07.023
- Added some further information about the organization.
- Time and location of the preliminary talk added. Attendance is mandatory for all participants.
- List of possible topics posted. If you would like to do a topic that is not listed below but is relevant to the theme of this seminar feel free to email one of the organizers with your suggestion.
- The course will be held in English. The primary literature will be in English, and the presentation and term paper are expected to be completed in English.
- The maximum number of participants is limited to 12, so register early!
- The course will be conducted in a block format, with meetings about once a month during the semester. The exact dates will be determined at the beginning of WS 2012 / 2013.
- Requirements: General interest in computer vision, control theory, human machine interaction or robotics. Basic mathematical skills in linear algebra, probability theory, and calculus will likely be helpful.
- Each participant is required to complete a 10 - 15 page term paper. This term paper is due at the latest two weeks before the participant's scheduled presentation
- An outline of the term paper is due at the latest three weeks before the scheduled presentation.
- Each participant is required to give a 20 min presentation and prepare for 10 minutes of follow up discussion. The presentation slides are due at the latest one week prior to the scheduled presentation.
- All participants will be assessed a grade on both the presentation and the term paper.
- The term paper will contribute two thirds (2/3) of the total grade in the course.
- The presentation will contribute one third (1/3) of the total grade in the course.
- Gravity Compensation for Robot Control
- Impedance / Admittance Control
- Kinematics of Bendable / Snake-like Structures
- Foce-Feedback and Virtual Fixtures
- Survey of Robotic Software Platforms (ROS, CISST)
- Survey of Feature Detectors and Descriptors
- Visual SLAM Approaches
- Stereo Reconstruction Fundamentals
- Inference in Markov Random Fields for Stereo Reconstruction
- Structured Light Pattern Matching in Stereo Images
- Enhanced Visualization Techniques for MIS
- Feature Correspondence Algorithms for MIS
- Camera Self-Calibration for Robust Visual Processing
|11.01.2013||Structured Light Pattern Matching in Stereo Images||Emily Mo-Hellenbrand||Christoph Staub|
|11.01.2013||Visual SLAM Approaches||Mathias Freysoldt||Brian Jensen|
|16.01.2013||Survey of Feature Detectors and Descriptors||Antanasko Atanasov||Brian Jensen|
|16.01.2013||Motion planning for MIS||Stefanie Gareis||Brian Jensen|
|22.01.2013||Foce-Feedback and Virtual Fixtures||Mohamed Sharaf-El-Deen||Salman Can|
|22.01.2013||Gravity Compensation for Robot Control||Artyom Topchyan||Salman Can|
- Kickoff Meeting slides: organization & topics 120710_Seminar_WS13.pdf
- Computer Vision: Algorithms and Applications. Richard Szeliski
- Computer Vision: Models, Learning, and Inference. Simon J.D. Prince
- Bayesian Reasoning and Machine Learning. David Barber