| dc.contributor.author |
Ramkumar, B. |
|
| dc.contributor.author |
Laber, Rob |
|
| dc.contributor.author |
Bojinov, Hristo |
|
| dc.contributor.author |
Hegde, Ravi Sadananda |
|
| dc.date.accessioned |
2019-03-27T06:42:08Z |
|
| dc.date.available |
2019-03-27T06:42:08Z |
|
| dc.date.issued |
2019-01 |
|
| dc.identifier.citation |
Ramkumar, B.; Laber, Rob; Bojinov, Hristo and Hegde, Ravi Sadananda, “GPU acceleration of the KAZE image feature extraction algorithm”, Journal of Real-Time Image Processing, DOI: 10.1007/s11554-019-00861-2, vol. 17, no. 5, pp. 1169-1182, Mar. 2019. |
en_US |
| dc.identifier.issn |
1861-8200 |
|
| dc.identifier.issn |
1861-8219 |
|
| dc.identifier.uri |
https://doi.org/10.1007/s11554-019-00861-2 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/4293 |
|
| dc.description.abstract |
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. |
|
| dc.description.statementofresponsibility |
by B. Ramkumar, Rob Laber, Hristo Bojinov and Ravi Sadananda Hegde |
|
| dc.format.extent |
vol. 17, no. 5, pp. 1169-1182 |
|
| dc.language.iso |
en |
en_US |
| dc.publisher |
American Chemical Society |
en_US |
| dc.subject |
Nonlinear scale space |
en_US |
| dc.subject |
Feature detection |
en_US |
| dc.subject |
Feature description |
en_US |
| dc.subject |
GPU acceleration |
en_US |
| dc.subject |
KAZE features |
en_US |
| dc.title |
GPU acceleration of the KAZE image feature extraction algorithm |
en_US |
| dc.type |
Article |
en_US |
| dc.relation.journal |
Journal of Real-Time Image Processing |
|