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teaching:se-cv-ws14 [2014/09/22 09:19] – jworch | teaching:se-cv-ws14 [2014/10/27 14:33] – balintbe | ||
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^Semester^WS 2014/2015^ | ^Semester^WS 2014/2015^ | ||
^Vortragende^Prof. Michael Beetz, Ferenc Balint-Benczedi, | ^Vortragende^Prof. Michael Beetz, Ferenc Balint-Benczedi, | ||
- | ^Sprache^Deutsch & Englisch^ | + | ^Sprache^Englisch^ |
- | ^Termine^Di. 10;00-12;00, Ort: Library, 1st floor TAB building, room 1.58^ | + | ^Termine^Di. 10:00-12:00^ |
+ | ^Ort^ [[https:// | ||
^Bemerkungen^Veranstaltungsbeginn: | ^Bemerkungen^Veranstaltungsbeginn: | ||
- | Dieses Seminar behandelt aktuelle Forschungsthemen TODO | + | Topics: |
+ | * Camera Model | RGBD-Camera Registration | ||
+ | * 3D-Feature Detectors and Descriptors | ||
+ | * Hough Transformation | ||
+ | * RANSAC | ICP | ||
+ | * Object Recognition | ||
+ | * Object Detection | ||
+ | * Object Model Reconstruction | ||
+ | * Human Detection | ||
+ | * Probability Theory | ||
+ | * Tracking Algorithms | ||
+ | * Watson | RoboSherlock | ||
+ | |||
+ | Nähere Informationen zum Ablauf des Seminars finden sich [[https:// | ||
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+ | Literature for Topics: | ||
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+ | |< 100% 33% 66%>| | ||
+ | |||
+ | ^Object Detecion and recogniotion^ Richard Szeliski: Computer Vision: | ||
+ | ^Hough, RANSAC, ICP^ Wikipedia is normally a great place for geting familiar with these algorithms\\ How are these applied in robotic perception? e.g.: Papzov et.el. An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes^ | ||
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- | Nähere Informationen zum Ablauf des Seminars finden sich [[http:// |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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