3D Computer Vision (IN2057)
Lehrveranstaltung 821092941 im SS 2014
Basisdaten
| LV-Art | Vorlesung-Übung |
|---|---|
| Umfang | 4 SWS |
| betreuende Organisation | Informatik 16 - Lehrstuhl für Anwendungen in der Medizin (Prof. Navab) |
| Dozent(inn)en | |
| Termine |
Mo, 14:00–16:00, Interims I 101 Di, 15:00–16:30, Interims I 101 |
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 | Making a computer see was something that leading experts in the field of Artificial Intelligence thought to be at the level of difficulty of a summer student's project back in the sixties. Forty years later the task is still unsolved and seems formidable. A whole field, called Computer Vision, has emerged as a discipline in itself with strong connections to mathematics and computer science and looser connections to physics, the psychology of perception and the neuro sciences. Over the past decade there has been a rapid development in the understanding and modeling of the geometry of multiple views in computer vision. The theory and practice have now reached a level of maturity where excellent results can be achieved for problems that were unsolved a decade ago, and often thought unsolvable. These tasks and algorithms include problems like: Given two/three/multiple images, and no further information, compute/estimate: matches between the images the 3D position of the points that generate these matches the cameras that generate the images (Adapted form Hartley & Zisserman's "Multiple View Geometry in Computer Vision") The fundamental mathematics and a profound comprehension of the basics of projective geometry as well as one-view and multi-view geometry are the core of the lecture. |
|---|---|
| Links |
LV-Unterlagen TUMonline-Eintrag |