Jun. Prof. Dr.-Ing. Boris Neubert
- Raum: 137
- neubertDwk0∂kit edu
Am Fasanengarten 5, Gebäude 50.34, 1. OG, 76131 Karlsruhe, Germany
Titel | Bild | Quelle |
---|---|---|
Discovering Structured Variations Via Template Matching | Computer Graphics Forum DOI: 10.1111/cgf.12788 |
|
Self Tuning Texture Optimization | Computer Graphics Forum (Eurographics 2015), 34(2) |
|
Interactive design of probability density functions for shape grammars | ACM Transactions on Graphics (Siggraph Asia 2015) 34, 6, Article 206 (October 2015) |
Visualizing complex relations for distributional analyses
- Ansprechpartner:
Andreas Haupt, Boris Neubert
- Förderung:
YIN
- Starttermin:
Mitte 2016
For a long time it is understood that communicating information is more effective by means of visual representations. Kahnemann and Tversky [1] present several cases for severe and systematic errors in processing statistical information. They already suggested the use of graphical depictions to better convey complex relations. In the case of the Simpson’s Paradox relations between properties within subgroups and the specific relation of the subgroups themselves lead to an an overall distribution suggesting the opposite relation of properties as within the subgroups. The project aims offering new tools to communicate research results dealing with that particular problem.
Visual Computing
- Typ: Vorlesung (V)
- Semester: SS 2016
-
Zeit:
Vorlesung:
Montag 11:30 - 13:00 wöchentlich
50.34 Raum 131
Übung:
Montag 14:00 - 15:30 wöchentlich
50.34 Raum 131
Seminar: Machine Learning for Geometric Design
- Typ: Seminar
- Semester: SS 2016
-
Ort:
Raum 131
-
Zeit:
Freitag 17:00-18:30
wöchentlich
Praktikum Visual Computing
- Typ: Praktikum (P)
- Semester: SS 2016
-
Zeit:
Montag
15:30 - 17:00 wöchentlich
50.34 Raum 134/135
Proposal Slide/pdf wie besprochen an viscomp@ira.uka.de
Content for VR/AR (Visualisation/ Models/ Games),
Capturing Hardware/Software
VR/AR Display/Interaction Software and Hardware.