Aktuelle Informationen
4.4.2011
Willkommen zur Vorlesung "Bildverstehen"!
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Inhalt
Lecture 1: Introduction
Lecture 2: Early work on scene interpretation
Lecture 3: Basic knowledge representation formalisms
Lecture 4: Conceptual units for scene interpretation
Lecture 5: Interface to low-level vision
Lecture 6: Modelling spatial and temporal relations
Lecture 7: Interpretation procedures
Lecture 8: Logical framework
Lecture 9: Scene interpretation as configuration
Lecture 10: Probabilistic Guidance
Lecture 11: Case study structure recognition (eTRIMS)
Lecture 12: Case study activity recognition (Co-Friend)
Lecture 13: Robot Localisation and Mapping (SLAM)
Lecture 14: Summary and outlook
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Literatur
Russel & Norvig: Artificial Intelligence - A Modern Approach (3. Ed.), Pearson 2010