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An Efficient Image Matching Algorithm Based on Adaptive Threshold and RANSAC

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成果类型:
期刊论文
作者:
Li, Hao;Qin, Jiaohua*;Xiang, Xuyu;Pan, Lili;Ma, Wentao;...
通讯作者:
Qin, Jiaohua
作者机构:
[Ma, Wentao; Qin, Jiaohua; Pan, Lili; Li, Hao; Xiang, Xuyu] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410004, Hunan, Peoples R China.
[Li, Hao] Hunan Univ Commerce, Changsha 410205, Hunan, Peoples R China.
[Xiong, Neal N.] Northeastern State Univ, Dept Math & Comp Sci, Tahlequah, OK 74464 USA.
通讯机构:
[Qin, Jiaohua] C
Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
Adaptive threshold;digital campus;Harris corner detection;image matching;random sample consensus
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2018
卷:
6
期:
99
页码:
66963-66971
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 61772561, in part by the Key Research and Development Plan of Hunan Province under Grant 2018NK2012, in part by the Postgraduate Science and Technology Innovation Foundation of the Central South University of Forestry and Technology under Grant 20183027, in part by the Key Laboratory for Digital Dongting Lake Basin of Hunnan Province, and in part by the Science Research of Hunan Provincial Education Department of China under Grant 16C1659.
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
The education plays a more and more important role in disseminating knowledge because of the explosive growth of knowledge. As one kind of carrier delivering knowledge, image also presents an explosive growth trend and plays an increasingly important role in education, medical, advertising, entertainment, and so on. Aiming at the long time of massive image feature extraction in the construction of smart campus, the traditional Harris corner has problems, such as low detection efficiency and many non-maximal pseudocorner points. This paper propo...

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