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| Nähere Informationen zum Ablauf des Seminars finden sich [[https:// | Nähere Informationen zum Ablauf des Seminars finden sich [[https:// | ||
| - | Literature | + | 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:// | ||
| + | |||
| + | ==Object Detecion and recogniotion== | ||
| + | *Richard Szeliski: Computer Vision: | ||
| + | *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 Recognitizing Humans== | ||
| + | *Forsyth et.al. Computaional Studies of Human Motion: Part 1, Tracking and Motion Synthesis([[http:// | ||
| + | *Pons-Moll et.al. Metric Regression Forests | ||
| - | |< 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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