Accelerating Image Feature Comparisons using CUDA on Commodity Hardware
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}
}
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.
February 18, 2011 by hgpu
