11370
Naoki Shibata, Shinya Yamamoto
With an aim to realizing highly accurate position estimation, we propose in this paper a method for efficiently and accurately detecting the 3D positions and poses of traditional fiducial markers with black frames in high-resolution images taken by ordinary web cameras. Our tracking method can be efficiently executed utilizing GPGPU computation, and in order to […]
Martin Knecht, Georg Tanzmeister, Christoph Traxler, Michael Wimmer
Recent methods in augmented reality allow simulating mutual light interactions between real and virtual objects. These methods are able to embed virtual objects in a more sophisticated way than previous methods. However, their main drawback is that they need a virtual representation of the real scene to be augmented in the form of geometry and […]
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Jim Braux-Zin
State of the art Structure from Motion algorithms can produce a real-time sparse 3d map of the environment, in a fast, robust and efficient way. However, dense 3d maps would be very useful for accurate Augmented Reality with occlusion management. This project focus on generating accurate dense depth-maps in near real-time from the data provided […]
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Takehiro Tawara, Kenji Ono
We propose a two-handed direct manipulation system to achieve complex volume segmentation of CT/MRI data in Augmented Reality with a remote controller attached to a motion tracking cube. At the same time segmented data is displayed by direct volume rendering using a programmable GPU. Our system achieves visualization of real time modification of volume data […]
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Thomas Pintaric
This report describes a system that performs live-action compositing of physical and virtual objects to a panoramic background image in real-time at interactive rates. A static camera is directed towards a 40 cm3 miniature stage, whose backdrop has been colored in chromatic green. Users can add virtual objects and manipulate their parameters within the scene […]
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Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

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  • OS: OpenSUSE 13.1
  • SDK: AMD APP SDK 2.9
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