SIFT Saliency Analysis for Matching Repetitive Structures
Joint Authors
Hu, Xiao Peng
Xu, Lijuan
Yang, Yan
Wang, Fan
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The ambiguity resulting from repetitive structures in a scene presents a major challenge for image matching.
This paper proposes a matching method based on SIFT feature saliency analysis to achieve robust feature matching between images with repetitive structures.
The feature saliency within the reference image is estimated by analyzing feature stability and dissimilarity via Monte-Carlo simulation.
In the proposed method, feature matching is performed only within the region of interest to reduce the ambiguity caused by repetitive structures.
The experimental results demonstrate the efficiency and robustness of the proposed method, especially in the presence of respective structures.
American Psychological Association (APA)
Yang, Yan& Hu, Xiao Peng& Xu, Lijuan& Wang, Fan. 2017. SIFT Saliency Analysis for Matching Repetitive Structures. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189973
Modern Language Association (MLA)
Yang, Yan…[et al.]. SIFT Saliency Analysis for Matching Repetitive Structures. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1189973
American Medical Association (AMA)
Yang, Yan& Hu, Xiao Peng& Xu, Lijuan& Wang, Fan. SIFT Saliency Analysis for Matching Repetitive Structures. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1189973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189973