Make Scale Invariant Feature Transform “Fly” with CUDA

Authors

  • Yuhong Mo Carnegie Mellon University, Electrical and Computer Engineering, PA, USA
  • Chaoyi Tan Northeastern University, Electrical and Computer Engineering, MA, USA
  • Chenghao Wang Georgia Institute of Technology, Computer Science, GA, USA
  • Hao Qin Independent, CHINA
  • Yushan Dong University of Maryland, Machine Learning, USA

DOI:

https://doi.org/10.5281/zenodo.11516606

Keywords:

SIFT, CUDA, Parallelism

Abstract

This paper introduces an implementation of scale invariant feature transform (SIFT) algorithm with CUDA. Primary  steps  including  building the  Gaussian  pyramid  and the difference of Gaussian pyramid, identification, localization [1], and orientation  generation of key-points  are  realized  on GPU with CUDA. A detailed description of important kernel function implementations is covered along with optimizations made to achieve high performance, and a comparison between the CUDA version SIFT algorithm and a baseline sequential CPU implementation is included.

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Published

2024-06-07
CITATION
DOI: 10.5281/zenodo.11516606
Published: 2024-06-07

How to Cite

Yuhong Mo, Chaoyi Tan, Chenghao Wang, Hao Qin, & Yushan Dong. (2024). Make Scale Invariant Feature Transform “Fly” with CUDA. International Journal of Engineering and Management Research, 14(3), 38–45. https://doi.org/10.5281/zenodo.11516606

Issue

Vol. 14 No. 3 (2024): June Issue

Section

Articles

License

Copyright (c) 2024 Yuhong Mo, Chaoyi Tan, Chenghao Wang, Hao Qin, Yushan Dong

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.