A Real-Time Adaptive RANSAC Algorithm Applied in Image Matching

WANG Hao; ZHANG Shengwei; XU Kai

doi:10.3969/j.issn.1671-637x.2020.02.019

Journals >Electronics Optics & Control >Volume 27 >Issue 2 >Page 90 > Article

Electronics Optics & Control
Vol. 27, Issue 2, 90 (2020)

A Real-Time Adaptive RANSAC Algorithm Applied in Image Matching

WANG Hao^1、2, ZHANG Shengwei², and XU Kai²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2020.02.019 Cite this Article

WANG Hao, ZHANG Shengwei, XU Kai. A Real-Time Adaptive RANSAC Algorithm Applied in Image Matching[J]. Electronics Optics & Control, 2020, 27(2): 90 Copy Citation Text

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References

[1] LI C, LIU Y K.Global motion estimation based on SIFT feature match for digital image stabilization［C］//Proceedings of International Conference on Computer Science and Network Technology (ICCSNT), Harbin, China:2011:2264-2267.

[2] PINTO B, ANURENJAN P R.Video stabilization using Speeded Up Robust Features［C］//Proceedings of International Conference on Communications and Signal Processing (ICCSP), Kerala, India:2011:527-531.

[4] FISCHLER M A, BOLLES R C.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography［J］.Communications of the ACM, 1981, 24(6): 381-395.

[5] CHUM O, MATAS J.Matching with PROSAC-progressive sample consensus［J］.IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005:220-226.

WANG Hao, ZHANG Shengwei, XU Kai. A Real-Time Adaptive RANSAC Algorithm Applied in Image Matching[J]. Electronics Optics & Control, 2020, 27(2): 90

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