Administrative InfoLecture by Prof. Nassir NavabExercises by Slobodan Ilic and Stefan Hinterstoisser and Alexandru Duliu and Stefan Holzer and Jakob Vogel
Type: Lecture Module IN2057
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Time, Location & Requirements
Lecture: Tuesday 10:00-11:30 MI 03.13.010
Exercises: Thursday 13:00-14:30 MI 03.13.010 Requirements:
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Site Content
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AnnouncementsThe end-term exam is finally corrected, and the grades have been entered on TUM Online. You can examine your corrected exams on Thursday, September 15, between 10:30 am and 12:00 pm. The repeat exam will take place on Thursday, September 29, in room MI 03.13.010 from 10:00 am to 12:00 pm.
RegistrationPlease register through TUMOnline.
HomeworksHomework will be checked on June 9 and July 7 at 04:00 pm and July 26 at 10am. Please note that we postponed the last date due to multiple request. On these dates students have to show their homework either on their own computer or on the computers of the CAMP-Lab. In these sessions, we will check all the previous yet unchecked assignments.
MatlabIn order to do the exercises students must know how to program in Matlab. A basic introduction is given on Mai 5th during the exercise. Please read the Matlab tutorial/sheet given under Exercises if you want to attend!
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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 geometry are the core of the lecture 3D Computer Vision.
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Title: | 3D Computer Vision I |
Professor: | Prof. Dr. Nassir Navab |
Tutors: | Dr. Slobodan Ilic, Stefan Hinterstoisser, Alexandru Duliu, Stefan Holzer, Jakob Vogel |
Type: | Lecture |
Information: | 2+2 SWS, 5 ECTS, Theoretische Informatik, Wahlpflichtfach |
Term: | 2011SoSe |
Abstract: | The class covers projective and one-view geometry for Computer Vision Applications. |
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![]() | TUfinger01_resampled.jpg | manage | 20.7 K | 08 Jun 2011 - 11:51 | StefanHinterstoisser | |
![]() | TUfinger02_resampled.jpg | manage | 20.6 K | 08 Jun 2011 - 11:51 | StefanHinterstoisser |