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teaching:se-cv-ws14 [2014/09/22 09:21] jworchteaching:se-cv-ws14 [2014/10/28 10:29] (current) jworch
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 ^Semester^WS 2014/2015^ ^Semester^WS 2014/2015^
 ^Vortragende^Prof. Michael Beetz, Ferenc Balint-Benczedi, Thiemo Wiedemeyer, Jan-Hendrik Worch^ ^Vortragende^Prof. Michael Beetz, Ferenc Balint-Benczedi, Thiemo Wiedemeyer, Jan-Hendrik Worch^
-^Sprache^Deutsch & Englisch^ +^Sprache^Englisch^ 
-^Termine^Di. 10;00-12;00^ +^Termine^Di. 10:00-12:00^ 
-^Ort^TAB Eingang E, Raum 1.58+^Ort^ [[https://www.google.de/maps/place/Technische+Akademie+Bremen,+Universit%C3%A4t+Bremen,+28359+Bremen/@53.1099364,8.8592024,17z/data=!3m1!4b1!4m2!3m1!1s0x47b126315a2e1755:0x74c75b0bda3dec4f?hl=de|TAB-Gebäude (Am Fallturm 1)]], [[https://ai.uni-bremen.de/_media/contact/tab1.png|Eingang E]], Raum 0.31
 ^Bemerkungen^Veranstaltungsbeginn: 14.10.2014^ \\ ^Bemerkungen^Veranstaltungsbeginn: 14.10.2014^ \\
  
-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://elearning.uni-bremen.de/|hier]] 
 + 
 +For a general overview about perception in robotics students are encouraged to look at the following paper : 
 +  * Vision for Robotics, //Markus Vincze and Danica Kragic// in Foundations and Trends in Robotics Vol. 1, No. 1 (2010) 1–78 [[http://www.nowpublishers.com/media/Journal-Article-PDFs/2300000001.pdf|[pdf]]]  
 + 
 +==Object Detecion and recogniotion==  
 +  *Richard Szeliski: Computer Vision:Algorithms and Applications, Chapter 14 [[http://szeliski.org/Book/|(link)]], 
 +  *Collet et.al. Object Recognition and Full Pose Registration from a Single Image for Robotic Manipulation 
 + 
 +==Hough Transform, RANSAC, ICP== 
 +  *Wikipedia is normally a great place for geting familiar with these algorithms 
 +  *Papzov et.el. An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes 
 +  *Find more applications of these algorithms in robotics e.g.:  
 + 
 +==Tracking and Recognizing Humans==  
 +  *Forsyth et.al. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis([[http://luthuli.cs.uiuc.edu/~daf/Papers-local/0600000005.pdf|pdf]]) 
 +  *Pons-Moll et.al. Metric Regression Forests for Human Pose Estimation( [[http://www.bmva.org/bmvc/2013/Papers/paper0004/paper0004.pdf|pdf]]) 
 + 
 + 
 + 
 + 
  
-Nähere Informationen zum Ablauf des Seminars finden sich [[http://ai.uni-bremen.de/teaching/se-cv-ws14|hier]] (TODO: update link) 




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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