Earticle

초록

영어

In this paper, we propose an ORB hardware accelerator design. Feature-based SIFT and SURF hardware accelerators that detect features in real-time require high hardware costs. To overcome this disadvantage, an ORB algorithm consisting of simple calculations was designed as the hardware accelerator. A comparison between the proposed ORB hardware accelerator with SIFT and SURF accelerators revealed that the block RAM usage of the former decreased by approximately 25% and 83%, and its slice logic usage decreased by approximately 40% and 68%, respectively. As approximately 9 ms were required for processing, it was verified that the proposed hardware accelerator could perform real-time feature detection.

목차

Abstract
 1. Introduction
 2. Feature-based Algorithm
  2.1. Feature detection
  2.2. Orientation
  2.3. Descriptor generation
 3. Feature Detection Hardware Design
  3.1. Feature detection block
  3.2. Orientation block
  3.3. Descriptor generation block
 4. Experiment and Result
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Kwang-yeob Lee [ Dept. of Computer Engineering, Seokyeong University, Jeongneung 4-dong, Seongbuk-gu, Seoul, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605