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Computer Vision SS 2011

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

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Computer Vision SS 2011

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  1. Computer Vision SS 2011 Prof. Dr. Martin KleinsteuberDipl.-Ing. Simon Hawe

  2. Computer Vision Bücher/Papers/Internet... Selbstständig arbeiten Inhalte aussuchen ZIEL Inhalte vermitteln Feedback geben mk Studis

  3. Spass haben! • Methoden annehmen • interessiert sein • selbstständig sein • Fragen stellen • Feedback geben • Methoden ausdenken • Inhalte aussuchen • auf Fragen eingehen • Feedback annehmen mk Studis

  4. ...der rote Faden

  5. 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

  6. 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.

  7. kleinsteuber@tum.de, Zi. Z944, Tel: 289 23619 • simon.hawe@tum.de, Zi. 0936, Tel: 289 23611

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