Jan-Friso Evers-Senne

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In this paper we present a novel approach for interactive rendering of virtual views from real image sequences. Combining the concepts of light fields, depth-compensated image warping and view dependent texture mapping, this plenoptic modeling approach can handle large and complex scenes. A portable, handheld multi-camera system has been developed that(More)
In this paper we will present a novel approach of using surface patches for Image Based Rendering. Based on image sequences acquired with a freely moving portable multi-camera-rig we can extrapolate novel views of complex real scenes in real-time. The cameras are calibrated from the image sequence itself and dense depth maps are computed for each camera(More)
A distributed realtime system for immersive visu-alization is presented which uses distributed interaction for control. We will focus on user tracking with fixed and pan-tilt-zoom cameras, synchronization of multiple interaction devices and distributed synchronized visualization. The system uses only standard hardware and standard network protocols.(More)
In the last decade the visualization of virtual environments and interaction within was possible only with specialized hardware. This hardware was very expensive, had a lack of scalability and used specific protocols, busses, networks for communication and specialized graphics hardware for visualization. We will present a simple protocol for synchronized(More)
For AR applications the 3D position and direction of the users view have to be determined in real time. At the same time, the augmentation, one or more 3D objects, have to be rendered. This article describes a distributed mobile AR-System designed for industrial service applications. By distributing the different tasks involved in AR, the computational load(More)
This paper describes a visual markerless real-time tracking system for Augmented Reality applications. The system uses a firewire camera with a fisheye lens mounted at 10 fps. Visual tracking of 3D scene points is performed simultaneously with 3D camera pose estimation without any prior scene knowledge. All visual-geometric data is acquired using a(More)
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