Research Projects (2009)
- Show Keywords
- 3D Computer Vision 3D reconstruction Aerial Vision Augmented Reality Augmented Video Best Paper Award Biometrics Caleydo Computational Photography Computer Graphics Computer Vision Convex Optimization Coordinate transformations detection face Fingerprint Georeferencing GPU GUI HOG Human Computer Interaction Image Labelling Industrial Applications Information Visualization integral imaging Interaction Interaction Design Machine Learning Medical computer vision Medical Visualization Mixed Reality Mobile computing Mobile phone Model Multi-Display Environments Multiple Perspectives Object detection Object recognition Object reconstruction Object Tracking On-Line Learning Robotics Segmentation Shape analysis shape from focus SLAM Software Projects Structure from Motion Surveillance SVM Symmetry Tracking Fusion Tracking, Action Recognition User Interfaces Variational Methods Virtual reality and augmented reality Visual Tracking Visualization
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inGeneious - Holistic Visualization of Biomolecular and Clinical Data
(details) |
Ziel des Projekts inGeneious ist es, Visualisierungsmethoden und Work-Flows zu entwickeln, die Biologen und Medizinern bei der Analyse biomolekulare Daten im Kontext von klinischen Faktoren sowie biologischen Prozesse unterstützen. Die Berücksichtigung dieser Faktoren bei der Analyse von zum Beispiel Genexpressionsdaten ist entscheidend, da auf diese Weise Rückschlüsse über Zusammenhänge von genetischer Predisposition und Krankheitsverlauf gewonnen werden können. Zwei zentrale Forschungsfragen sind Gegenstand des inGeneious-Projektes. Zunächst soll eine ganzheitliche Betrachtungsweise der drei Datenräume durch Multiple-View-Verfahren und effizientes visuelles Verbinden von Informationen ermöglicht werden. Darauf aufbauend soll eine vergleichende Analyse divergierender Gruppen durch neue, vergleichende Visualisierungsmethoden ermöglicht werden. Experten erhalten damit ein Werkzeug um die immer größer werdende Menge biomolekularer Daten effizient verwenden zu können. Diese Forschungsarbeit wird innerhalb des Projekts Caleydo durchgeführt. |
2009 | 2011 |
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SMART Vidente - Subsurface Mobile Augmented Reality Technology for Outdoor Infrastructure Workers
(details) |
SMART VIDENTE focuses on research on the next-generation field information system for utility companies, providing mobile workforces with capabilities for on-site inspection and planning, data capture and as-built surveying. For achieving this aim, handheld Augmented Reality technology is used for on-site modification and surveying of geometric and semantic attributes of geospatial 3D models on the user’s handheld device. The project aims at providing a fully functional handheld Augmented Reality device for utility field workers. To achieve this goal, we require a software solution that can visualize registered three-dimensional underground models in real time. Registration in 3D requires being able to perform accurate global localization and posing tracking in real time without relying on unrealistic assumptions concerning prior scene knowledge. We will address this issue through fusion of vision, inertial and GPS sensors. Visualization requires the rendering of complex 3D models of underground infrastructure in a way that is easily comprehensible and useful to the mobile worker. This requires visualization techniques for geometric as well as non-geometric information from the geo-database, in particular of hidden objects through so-called “X-ray vision”. These visualization techniques need to be adaptive to scene complexity and environmental conditions. The three-dimensional geometry to be shown is not available per default, but must be extracted from a conventional database system and interpreted on-the-fly as a 3D visualization using procedural modeling techniques. We want to support annotation and even surveying tasks in the field, so the system must also allow to write information back to the geo-database. Finally, we will work with three large Austrian infrastructure companies to assess the usability of our solutions. |
2009 | 2011 |
