Digital Image Processing - Multimedia Computing and Computer ...

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Courses • SS 08 – Lecture: Digital Image Processing (2+2) – Lecture: Bayesian Networks (2+2) – Lecture: Probabilistic Robotics (2+2) – Praktikum: Audio Signal Processing (2+4) – Praktikum: Video Signal Processing (2+4) – Oberseminar: Selected Aspects of Media Mining (2) • WS 07/08 – Lecture: Media Mining I (4+2) – Praktikum: Audio Signal Processing (2+4) – Praktikum: Video Signal Processing (2+4) – Seminar: Object Recognition (2) – Oberseminar: Selected Aspects of Media Mining (2) © 2004-2008, Prof. Dr. R. Lienhart, Head of Multimedia Computing, Institut für Informatik, Universität Augsburg Eichleitnerstr. 30, D-86135 Augsburg, Germany; email: Rainer.Lienhart@informatik.uni-augsburg.de
Schedule • SS08: 14 Apr 2008 – 20 Jul 2008 • Lecture (Room 207, Eichl. Str. [alte Uni]) – Tue: 08:15-09:45 – First lecture: Apr. 15 th , 2008 • Exercise (Room 202, Eichl. Str. [alte Uni]) – Wed : 10:00-11:30 – First exercise: April 30 th , 2008 • Important (National holidays): – No lecture on Tuesday May, 13 th • Examine (Room 207, Eichl. Str. [alte Uni]) – Tue: 08:15-09:45 – Jul. 15 th , 2008 © 2004-2008, Prof. Dr. R. Lienhart, Head of Multimedia Computing, Institut für Informatik, Universität Augsburg Eichleitnerstr. 30, D-86135 Augsburg, Germany; email: Rainer.Lienhart@informatik.uni-augsburg.de
Page 1 and 2: Digital Image Processing SS 2008 Pr
Page 3 and 4: Introduction (1) • Who am I? •
Page 5 and 6: Illusions Five deadly illusions of
Page 7: What is your passion? Why are you p
Page 11 and 12: Book Recommendations • Bernd Jäh
Page 13 and 14: Rules Exam: • Written examine: Ju
Page 15 and 16: Demo - Face Recognition © 2004-200
Page 17 and 18: Demo - Bowl Detection © 2004-2008,
Page 19 and 20: © 2004-2008, Prof. Dr. R. Lienhart
Page 21 and 22: Demos Effortless Sensor and Actuato
Page 23 and 24: Goal Given - A location/place - N c
Page 25 and 26: Speaker 2 Speaker 4 Room Length = 4
Page 27 and 28: Providing a Common Space for Multip
Page 29 and 30: Extrinsic Calibration of Multiple C
Page 31 and 32: Wie gewinnt man ein Rennen mit comp
Page 33 and 34: Terrain (1) Image taken from http:/
Page 35 and 36: Computer Vision Problem - Lasers ha
Page 37 and 38: Extend “Street” - What we know

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