Master-Praktikum - Correspondence and Matching Problems in Computer Vision (IN2106, IN4288)
Practical course: Correspondence and Matching Problems in Computer Vision (IN2106, IN4288)
Lehrveranstaltung 0000002675 im WS 2020/1
Basisdaten
| LV-Art | Praktikum |
|---|---|
| Umfang | 6 SWS |
| betreuende Organisation | Informatik 9 - Lehrstuhl für Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Dozent(inn)en |
Florian Bernard Mitwirkende: Maolin Gao Tarun Yenamandra |
| Termine |
Mi, 10:30–13:00, virtuell |
Zuordnung zu Modulen
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IN2106: Master-Praktikum / Advanced Practical Course
Dieses Modul ist in den folgenden Katalogen enthalten:- weitere Module aus anderen Fachrichtungen
weitere Informationen
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| ergänzende Hinweise | 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-Eintrag |