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Semantische 3D-Perzeption für robotische Systeme

Dauer4 SWS
ArtVorlesung mit Übung
SemesterWS2017/18
VortragendeDr. Ing. Michael Suppa
ÜbungsleitungFerenc Balint-Benczedi,Jan-Hendrik Worch
SpracheDeutsch und English
VoraussetzungEchtzeit-Bildverarbeitung
Termine Vorlesung und Übungen19.10.2017-01.02.2018 10:00-14:00
Ort TAB-Gebäude (Am Fallturm 1), Eingang E, Raum 0.31
Wichtige BemerkungenCourse and exercise alternate. Check Schedule below

Pleas sign up for the course on StudIP

Description

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:

  • Introduction to 3D
  • Features and Descriptors
  • From features to semantics
  • Scene registration – RGBD SLAM
  • Handling uncertainty in 3D
  • Perception Systems
  • Convolutional Neural Networks
  • and more

Preliminary Course Schedule (subject to change):

DateActivity
19.10 10:00-11:30 and 12:30-14:00Lecture: Introduction to 3D and Acquisition of 3D data
26.10 10:00-11:30Excerise: Introduction to 3D
09.11 10:00-11:30 and 12:30-14:00 Lecture: Features and Filters
16.11 10:00-11:30Excerise: 2D Keypoints and descriptors
23.11 10:00-11:30Excerise: 3D Keypoints and descriptors
30.11 10:00-11:30 and 12:30-14:00 Lecture: Objects I and II
07.12 10:00-11:30Excerise: Object recognition
14.12 10:00-11:30Excerise: Discussion of assignment
21.12 10:00-11:30 and 12:30-14:00 Lecture: Scenes I and II
TBAExcerise: Segmentation of kitchen scene
18.01 10:00-11:30 and 12:30-14:00 Lecture: CNNs and Applications
TBAExcerise: Exercise using CNNs