Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Evaluation of Feature Extraction and Matching Algorithms for the use of Mobile Application

모바일 애플리케이션을 위한 특징점 검출 연산자의 비교 분석

  • Lee, Yong-Hwan (Dept. of Smart Mobile, Fat East University) ;
  • Kim, Heung-Jun (Dept. of Computer Science and Engineering, Gyeongnam National University of Science and Technology)
  • 이용환 (극동대학교 스마트모바일학과) ;
  • 김흥준 (경남과학기술대학교 컴퓨터공학과)
  • Received : 2015.11.25
  • Accepted : 2015.12.21
  • Published : 2015.12.31
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Abstract

Mobile devices like smartphones and tablets are becoming increasingly capable in terms of processing power. Although they are already used in computer vision, no comparable measurement experiments of the popular feature extraction algorithm have been made yet. That is, local feature descriptors are widely used in many computer vision applications, and recently various methods have been proposed. While there are many evaluations have focused on various aspects of local features, matching accuracy, however there are no comparisons considering on speed trade-offs of recent descriptors such as ORB, FAST and BRISK. In this paper, we try to provide a performance evaluation of feature descriptors, and compare their matching precision and speed in KD-Tree setup with efficient computation of Hamming distance. The experimental results show that the recently proposed real valued descriptors such as ORB and FAST outperform state-of-the-art descriptors such SIFT and SURF in both, speed-up efficiency and precision/recall.

Keywords

References

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