ATTENTION: This is a web archive! The IMS Group was split up in 2018 and does not exist anymore. Recent work of former members can be found at the VR/AR Group and the Computer Vision Group.

Interactive Media Systems, TU Wien

Publications

Publications Feed

Scientific publications, talks, and theses. Click a title or “Details” link to learn
more about a particular publication (including BibTeX, PDF download, etc).

Journals

Robust and sparse k-means clustering for high-dimensional data S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Rohm: "Robust and sparse k-means clustering for high-dimensional data"; Advances in Data… S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Rohm Details

Conferences

Towards Eye-Friendly VR: How Bright Should It Be? Visual information plays an important part in the perception of the world around us. Recently, head-mounted displays (HMD) came to the consumer… K. Vasylevska, H. Yoo, T. Akhavan, H. Kaufmann Details
Semi-automatic post-processing of multi-view 2D-plus-depth video We propose a post-processing framework based on multiview interactive video segmentation for correcting 2D-plus-depth video footage. The suggested… B. Sespede, F. Seitner, M. Gelautz Details
An End-to-end System for Real-Time Point Cloud Visualization The growing availability of RGB-D data, as delivered by current depth sensing devices, forms the basis for a variety of mixed reality (MR)… H. Hofer, F. Seitner, M. Gelautz Details
SLAMANTIC - Leveraging Semantics to Improve VSLAM in Dynamic Environments In this paper, we tackle the challenge for VSLAM of handling nonstatic environments. We propose to include semantic information obtained by deep… M. Schörghuber, D. Steininger, Y. Carbon, M. Gelautz Details
Evaluation Study on Semantic Object Labelling in Street Scenes We present a processing pipeline for semantic scene labelling that was developed in view of autonomous driving applications. Our study focuses on two… A. Wittmann, M. Gelautz, F. Seitner Details

Talks

Robust k-means-based clustering for high-dimensional data We introduce a robust k-means-based clustering method for high-dimensional data where not only outliers but also a large number of noise variables… P. Filzmoser, S. Brodinova, T. Ortner, C. Breiteneder, M. Rohm Details
Visual Computing in Autonomous Driving and Human-Robot Interaction M. Gelautz Details
Digital Observation of Human Motion, Expression, and Intention Die Entwicklung von Algorithmen und Softwarewerkzeugen zur Beobachtung und automatischen Interpretation von menschlicher Bewegung durch Videoanalyse… M. Gelautz Details
Computer Vision Trends - Autonomous Driving and Human-Robot Interaction In recent years, computer vision research has been strongly influenced by latest developments in the fields of artificial intelligence and deep… M. Gelautz Details
Body Language in Human‐Robot Interaction D. Stoeva: "Body Language in Human‐Robot Interaction"; Poster: Summer School TrustRobots 2019, Wien; 15.09.2019 - 20.09.2019. D. Stoeva Details
Camera-Based In-Cabin Monitoring - Applications and Business Cases M. Gelautz: "Camera-Based In-Cabin Monitoring - Applications and Business Cases"; Vortrag: Forum Automatisierte Mobilität, Wien (eingeladen);… M. Gelautz Details
Body Language in Human‐Robot Interaction M. Gelautz, D. Stoeva, D. Schörkhuber Details

Theses

Mapping of Realism in Rendering onto Perception of Presence in Augmented Reality Augmented Reality (AR) is about seamless integration of virtual computer-generated objects into the real-world view. Ideally, virtual objects should… D. Schüller-Reichl Details
Semantic Labelling of Objects in Street Scenes An automatic and robust semantic interpretation of street scenes is required in order to improve driving assistance systems and to reach fully… A. Wittmann Details
Walkable Multi-User VR: Effects of Physical and Virtual Colocation The research presented in this dissertation focuses on multi-user VR, where multiple immersed users navigate the virtual world by physically walking… I. Podkosova Details