====== Seminar: Image Understanding ======

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^Dauer^2 SWS (4 ECTS)^
^Art^Seminar^
^Semester^WS 2014/2015^
^Vortragende^Prof. Michael Beetz, Ferenc Balint-Benczedi, Thiemo Wiedemeyer, Jan-Hendrik Worch^
^Sprache^Englisch^
^Termine^Di. 10:00-12:00^
^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^ \\

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]])