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A Parallel Mediated Reality Platform

Rosco Hill, James Fung and Steve Man
ECE Department, University of Toronto, 10 King’s College Road
International Conference on Image Processing, 2004. ICIP ’04, 24-27 Oct. 2004, Vol. 5, p.2865 – 2868

@conference{hill2005parallel,

   title={A parallel mediated reality platform},

   author={Hill, R. and Fung, J. and Mann, S.},

   booktitle={Image Processing, 2004. ICIP’04. 2004 International Conference on},

   volume={5},

   pages={2865–2868},

   isbn={0780385543},

   issn={1522-4880},

   year={2005},

   organization={IEEE}

}

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Realtime image processing provides a general framework for robust mediated reality problems. This paper presents a realtime mediated reality system that is built upon realtime image processing algorithms. It has been shown that the graphics processing unit (GPU) is capable of efficiently performing image processing tasks. The system presented uses a parallel GPU architecture for image processing that enables realtime mediated reality. Our implementation has many benefits; the graphics hardware has high throughput and low latency; the GPU’s are not prone to jitter. Additionally, the CPU is kept available for user applications. The system is easily constructed, consisting of readily available commodity hardware.
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