Administrative InfoLecture by Prof. Nassir NavabExercises by Dr. Selim Benhimane and Hauke Heibel 2+2 SWS, 5 ECTS, Theoretische Informatik, Wahlpflichtfach |
Time, Location & RequirementsTuesday 10:30-12:00 MI 03.13.010Exercises: Thursday 13:00-14:30 MI 03.13.010 Office hours: Wednesday 13:00-14:30 (MI 03.13.043 or MI 03.13.061) Course information and certificate requirements:
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AnnouncementsNeither the class nor the exercises require any registration. |
| TeachingForm | |
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| Title: | 3D Computer Vision II |
| Professor: | Prof. Dr. Nassir Navab |
| Tutors: | Dr. Selim Benhimane and Hauke Heibel |
| Type: | Lecture |
| Information: | 2+2 SWS, 5 ECTS, Theoretische Informatik, Wahlpflichtfach |
| Term: | 2008SoSe |
| Abstract: | 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 modelling 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" This tasks and algorithms as well as the methods which allow us to reason about the quality of our results are the core of the lecture 3D Computer Vision II. This lecture deals with multiple view geometry problems and having attended 3D Computer Vision I is of great benefit, however, it is not, in any case, compulsory. |