5 research outputs found
GPGPU acceleration of the KAZE image feature extraction algorithm
by Ramkumar B, R. S. Hegde, Rob Laber and Hristo Bojino
GPU acceleration of the KAZE image feature extraction algorithm
GPU in comparison to nearly 2400 ms for a 16-threaded CPU version) without degradation in feature extraction performance, our work expands the applicability of the KAZE algorithm. Additionally, the strategies described here could also prove useful for the GPU implementation of other nonlinear scale-space-based image processing algorithms.by B. Ramkumar, Rob Laber, Hristo Bojinov and Ravi Sadananda Hegd
