Practical course: Correspondence and Matching Problems in Computer Vision (IN2106, IN4288)
Course 0000002675 in WS 2020/1
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Florian Bernard Assistants: Maolin Gao Tarun Yenamandra |
| Dates |
Wed, 10:30–13:00, virtuell |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Correspondence and matching problems are omnipresent in computer vision and related fields. Such problems can appear in many different contexts (e.g. image alignment, shape matching, object tracking, 3D reconstruction, etc.), which highlights their high relevance. Most commonly, such problems are phrased in terms of numerical optimisation problems, as machine learning prediction tasks, or as a combination of both. During this course students will work on a specific project that tackles a particular correspondence or matching problem setting. They will implement and analyse methods described in existing research papers, as well as understand and analyse their strengths and weaknesses. The topics will be related to: - Graph matching - Image alignment - Point-cloud registration - Shape matching - Deep learning - Feature learning - Multi-matching problems - Cycle-consistency of maps https://vision.in.tum.de/teaching/ws2020/cmpcv |
|---|---|
| Links | TUMonline entry |