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Computer vision signal processing on graphics processing units

James Fung, Steve Mann
ECE Department, University of Toronto, 10 Kings College Road
In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004, Vol. 5 (2004), pp. 93-96.

@conference{fung2004computer,

   title={Computer vision signal processing on graphics processing units},

   author={Fung, J. and Mann, S.},

   booktitle={Acoustics, Speech, and Signal Processing, 2004. Proceedings.(ICASSP’04). IEEE International Conference on},

   volume={5},

   isbn={0780384849},

   issn={1520-6149},

   year={2004},

   organization={IEEE}

}

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In some sense, computer graphics and computer vision are inverses of one another. Special purpose computer vision hardware is rarely found in typical mass-produced personal computers, but graphics processing units (GPUs) found on most personal computers, often exceed (in number of transistors as well as in compute power) the capabilities of the Central Processing Unit (CPU). This paper shows speedups attained by using computer graphics hardware for implementation of computer vision algorithms by efficiently mapping mathematical operations of computer vision onto modern computer graphics architecture. As an example computer vision algorithm, we implement a real
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