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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 56 - 60 (5page)
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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.
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참고문헌 (13)
참고문헌 신청
Ethan Rublee / 2011 / ORB: an efficient alternative to SIFT or SURF / International Conference on Computer Vision :2564~2571
Krystian Mikolajczyk / 2005 / A performance evaluation of local descriptors / IEEE Transactions on Pattern Analysis and Machine Intelligence 27(10):1615~1630
Dong Ping Tian / 2013 / A review on image feature extraction and representation techniques / International Journal of Multimedia and Ubiquitous Engineering 8(4):385~396
David G. Lowe / 2004 / Distinctive image features from scale-invariant keypoints / International Journal of Computer Vision 60(2):91~110
Herbert Bay / 2008 / SURF: Speeded-up robust features / Computer Vision and Image Understanding 110(3):346~359
Krystian Mikolajczyk / 2005 / A performance evaluation of local descriptors / IEEE Transactions on Pattern Analysis and Machine Intelligence 27(10):1615~1630
Dong Ping Tian / 2013 / A review on image feature extraction and representation techniques / International Journal of Multimedia and Ubiquitous Engineering 8(4):385~396
David G. Lowe / 2004 / Distinctive image features from scale-invariant keypoints / International Journal of Computer Vision 60(2):91~110
Herbert Bay / 2008 / SURF: Speeded-up robust features / Computer Vision and Image Understanding 110(3):346~359
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