computer vision ss 2011
Download
Skip this Video
Download Presentation
Computer Vision SS 2011

Loading in 2 Seconds...

play fullscreen
1 / 7

Folie 1 - PowerPoint PPT Presentation


  • 120 Views
  • Uploaded on

Computer Vision SS 2011. Prof. Dr. Martin Kleinsteuber Dipl.-Ing. Simon Hawe. Computer Vision. Bücher/Papers/Internet. Selbstständig arbeiten. Inhalte aussuchen. ZIEL. Inhalte vermitteln. Feedback geben. mk. Studis. Spass haben!. Methoden annehmen interessiert sein

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Folie 1' - elina


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
computer vision ss 2011

Computer Vision SS 2011

Prof. Dr. Martin KleinsteuberDipl.-Ing. Simon Hawe

slide2

Computer Vision

Bücher/Papers/Internet...

Selbstständig arbeiten

Inhalte aussuchen

ZIEL

Inhalte vermitteln

Feedback geben

mk

Studis

slide3

Spass haben!

  • Methoden annehmen
  • interessiert sein
  • selbstständig sein
  • Fragen stellen
  • Feedback geben
  • Methoden ausdenken
  • Inhalte aussuchen
  • auf Fragen eingehen
  • Feedback annehmen

mk

Studis

slide5

Inhalt der Vorlesung:

  • Darstellung von Bildern/Kameramodell
  • Homogene Koordinaten/Lineare Algebra (Review)
  • Bildmerkmale und Korrespondenzen
  • Darstellung von 3D Szenen – Bewegung starrer Körper
  • ProjektiveGeometrie
  • Tiefenkarten
  • Zwei kalibrierte Ansichten/Epipolargeometrie
  • Essentielle Matrizen
  • 8-Punkt Algorithmus/Planare Homographie
  • Zwei unkalibrierte Ansichten/Kamerakalibrierung
  • 3D Rekonstruktion
slide6

Literatur:

  • Y. Ma, S. Soatto, J. Kosecka, S. Sastry: An Invitation to 3-D Vision. From Images to Geometric Models. Springer, 2006.
  • R.Hartley, A. Zisserman: Multiple ViewGeometry in Computer Vision. 2nd Edition, Cambridge University Press, 2003.
  • D.A. Forsyth, J.Ponce: Computer Vision: A Modern Approach. Prentice Hall. 2003.
  • K. Kanatani: GeometricComputationforMachine Vision. Oxford University Press. 1993.
ad