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SVD-SURF based fast and robust scene matching algorithm

  • Xi’an Electronic Engineering Research Institute

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

For position parameter estimation of aircraft, this dissertation presents a SVD-SURF-based wide-baseline robust scene matching algorithm. Firstly, we build SURF scale space based on the singular value features of real-time image and reference image. By using fast Hessian matrix maximum values, 64-dimensional SURF feature descriptors of aerial images wre calculated. Then, based on the trace of the Hessian matrix, we complete feature points matching. Finally, by using RANSAC algorithm, we removed the outliers for accurate position estimation. Experiments with two real aerial image sequences show that this algorithm is robust to image rotation, scale transformation and noise.

源语言英语
主期刊名Proceedings of the 32nd Chinese Control Conference, CCC 2013
出版商IEEE Computer Society
5005-5010
页数6
ISBN(印刷版)9789881563835
出版状态已出版 - 18 10月 2013
活动32nd Chinese Control Conference, CCC 2013 - Xi'an, 中国
期限: 26 7月 201328 7月 2013

出版系列

姓名Chinese Control Conference, CCC
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议32nd Chinese Control Conference, CCC 2013
国家/地区中国
Xi'an
时期26/07/1328/07/13

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