Research Projects (2004)
- Show Keywords
- 3D Computer Vision 3D reconstruction Aerial Vision Augmented Reality Augmented Video Best Paper Award Biometrics Caleydo 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
Indoor Modelling and Tracking
Precise indoor localisation is an important issue for Augmented Reality. The two major ingredients necessary to experiment with "location aware" Augmented Reality applications are
The localized device is often held by an individual, allowing applications to interact with the physical environment. Various Augmented Reality setups have been build during this project. Additionally work is shown to answer the question how to accurately and rapidliy survey an indoor environment. Next to manual strategies there automated aproaches of surveying are shown. Furthermore hybrid tracking approaches are demonstrated where heterogeneous tracking sensors are attached to handheld devices (UMPCs, micro PCs). In this context the sensor data is fused, which leads to a seamless tracking experience.