Improvement of Real-Time Performance of Image Matching Based on SIFT

DONG Jintao; CHEN Shuizhong; XU Kai; JIE Feiran

doi:10.3969/j.issn.1671-637x.2020.03.015

Journals >Electronics Optics & Control >Volume 27 >Issue 3 >Page 80 > Article

Electronics Optics & Control
Vol. 27, Issue 3, 80 (2020)

Improvement of Real-Time Performance of Image Matching Based on SIFT

DONG Jintao^1、2, CHEN Shuizhong², XU Kai², and JIE Feiran²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2020.03.015 Cite this Article

DONG Jintao, CHEN Shuizhong, XU Kai, JIE Feiran. Improvement of Real-Time Performance of Image Matching Based on SIFT[J]. Electronics Optics & Control, 2020, 27(3): 80 Copy Citation Text

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References

[4] LOWE D G.Distinctive image features from scale invariant keypoints［J］.International Journal on Computer Vision, 2004, 60(2): 91-110.

[5] LIPIKORN R, COOHAROJANANONE N, KIJSUPAPAISAN S, et al.Vehicle logo recognition based on interior structure using SIFT descriptor and neural network［C］//International Conference on Information Science, Electronics and Electrical Engineering, 2014:1595-1599.

[6] BIAN J W, LIN W Y, MATSUSHITA Y, et al.GMS:grid-based motion statistics for fast, ultra-robust feature correspondence［C］//IEEE Conference on Computer Vision and Pattern Recoginition(CVPR), 2017:2828-2837.

[7] WARIF N B, WAHAB A W, IDRIS M Y, et al.SIFT-symmetry:a robust detection method for copy-move forgery with reflection attack［J］.Journal of Visual Communication and Image Representation, 2017, 46(7):219-232.

DONG Jintao, CHEN Shuizhong, XU Kai, JIE Feiran. Improvement of Real-Time Performance of Image Matching Based on SIFT[J]. Electronics Optics & Control, 2020, 27(3): 80

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