Administrative InfoLecture by Prof. Nassir NavabExercises by Wadim Kehl, Vasileios Belagiannis
Type: Lecture Module IN2057
NOTE: Only exercise solutions of the theoretic parts will be posted on the web-site.
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Time, Location & Requirements
Location: Interimshörsaal 1, 5620.01.101 Course information and certificate requirements:
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Site Content
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Announcements
The final results are out (PDF)! Write a mail in case of questions/problems!
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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:
(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 multiple view geometry are the core of the lecture 3D Computer Vision.
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Title: | 3D Computer Vision |
Professor: | Prof. Dr. Nassir Navab |
Tutors: | Wadim Kehl , Vasileios Belagiannis |
Type: | Lecture |
Information: | 2+2 SWS, 5 ECTS Credits ( IN2057 ) |
Term: | 2014SoSe |
Abstract: |