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Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Seth Warn, Wesley Emeneker, John Gauch, Jackson Cothren, Amy Apon
Symposium on Application Accelerators in High Performance Computing, 2010

@article{warn2010accelerating,

   title={Accelerating Image Feature Comparisons using CUDA on Commodity Hardware},

   author={Warn, S. and Emeneker, W. and Gauch, J. and Cothren, J. and Apon, A.},

   booktitle={Application Accelerators in High Performance Computing, 2010 Symposium, Papers},

   year={2010}

}

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Given multiple images of the same scene, image registration is the process of determining the correct transformation to bring the images into a common coordinate system-i.e., how the images fit together. Featurebased registration applies a transformation function to the input images before performing the correlation step. The result of that transformation, also called feature extraction, is a list of significant points in the images, and the registration process will attempt to correlate these points, rather than directly comparing the input images.
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