Master-Praktikum - Advanced Topics in 3D Computer Vision (IN2106, IN4023)
Lehrveranstaltung 0000002656 im SS 2024
Basisdaten
LV-Art | Praktikum |
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Umfang | 6 SWS |
betreuende Organisation | Informatik 16 - Lehrstuhl für Anwendungen in der Medizin (Prof. Navab) |
Dozent(inn)en |
Nikolas Brasch Benjamin Busam Junwen Huang Hyunjun Jung Mert Asim Karaoglu Pengyuan Wang Guangyao Zhai Leitung/Koordination: Nassir Navab |
Termine |
Do, 16:00–18:00, MI 03.13.010 sowie 1 einzelner oder verschobener Termin |
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
Lehrveranstaltungen sind neben Prüfungen Bausteine von Modulen. Beachten Sie daher, dass Sie Informationen zu den Lehrinhalten und insbesondere zu Prüfungs- und Studienleistungen in der Regel nur auf Modulebene erhalten können (siehe Abschnitt "Zuordnung zu Modulen" oben).
ergänzende Hinweise | This course focuses on different recent topics in 3D computer vision and their application.The first set of lectures on specific vision problems (such as 6D Pose Estimation, Structure from Motion, Depth Estimation, Reconstruction) lays the foundation for practical challenges carried out by the student individually.While working on these problems the student gets familiar with these topics and decides on a direction for the group phase.In the group phase, a group of students is supported by coaches from both industry and academia. The group identifies a particular 3D vision problem in one of these areas and develops a prototype to solve it.The prototype solution is finally presented with a live demonstration.After the course, the student is familiar with some advanced topics in 3D computer vision for which a practical implementation has been carried out and experience in problem-solving for a specific 3D vision problem has been learned in constant exchange with group members and vision experts. |
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Links |
LV-Unterlagen E-Learning-Kurs (z. B. Moodle) Zusatzinformationen TUMonline-Eintrag |