Dauer | 4 SWS |
---|---|
Art | Vorlesung mit Übung |
Semester | WS2018/19 |
Vortragende | Dr. Ing. Michael Suppa |
Übungsleitung | Ferenc Balint-Benczedi,Jan-Hendrik Worch |
Sprache | Deutsch und English |
Voraussetzung | Echtzeit-Bildverarbeitung |
Termine Vorlesung und Übungen | 18.10.2017-01.02.2018 10:00-14:00 |
Ort | TAB-Gebäude (Am Fallturm 1), Eingang E, Raum 0.36 |
Wichtige Bemerkungen | Course and exercise alternate. Check Schedule below |
Pleas sign up for the course on StudIP
Dr. Michael Suppa is a leading expert in robot perception and visiting professor at the University of Bremen. He worked as project manager and researcher at the Institute of Robotics and Mechatronics of the German Aerospace Center (DLR) in the research areas: robotic exploration, 3-D vision, and data fusion. From 2009 until 2015, he was the Head of the Department Perception and Cognition, a recognized world leader on key robotic research topics such as complex scene analysis, perception for resource-limited systems and robotic cognition. In March 2015 he co-founded Roboception, a DLR spin-off company devoted to advancing the State-of-the -Art in 3D sensors and vision.
The lecture covers all important aspects of 3D semantic perception with a high focus on applicability and real world tasks. Some of the topics covered by the lecture:
Assignment nr. | Handed out | Submission date |
---|---|---|
A1 | 25th October | 12th November 08:00 AM |
A2 | 15th November | 3rd December 08:00 AM |
A3 | 29th November | 7th January 08:00 AM |
A4 | 10th January | 29th January 12:00 PM |
Three out of the four assignments must be submitted on time to enter to oral exam. Assignments will not be graded, but they will form a basis for discussion during the oral exam
The order and date of exercises is subject to change. Check back regularly.
Date | Activity |
---|---|
18.10 10:00-11:30 and 12:30-14:00 | Lecture: Introduction to 3D and Acquisition of 3D data |
25.10 10:00-11:30 | Exercise: Introduction to 3D |
01.11 10:00-11:30 | Lecture: Features |
15.11 10:00-11:30 | Exercise: 2D Keypoints and descriptors |
22.11 10:00-11:30 and 12:30-14:00 | Lecture: Filters and Objects I |
29.11 10:00-11:30 | Exercise: 3D Features and Object recognition |
06.12 10:00-11:30 | Exercise: Discussion of assignment |
20.12 10:00-11:30 and 12:30-14:00 | Lecture: Objects II and Scenes |
10.01 10:00-11:30 | Exercise: Segmentation of kitchen scene |
17.01 10:00-11:30 and 12:30-14:00 | Lecture: CNNs and Applications |
24.01 10:00-11:30 | Exercise: Exercise using CNNs |
31.01 10:00-11:30 | Exercise: Q&A |