NDLI: A robust match filtering algorithm for use with repetitive patterns

Content Provider	IEEE Xplore Digital Library
Author	Le Brese, C. Young, C.N. Ju Jia Zou
Copyright Year	2013
Description	Author affiliation: Sch. of Comput., Univ. of Western Sydney, Sydney, NSW, Australia (Le Brese, C.; Young, C.N.; Ju Jia Zou)
Abstract	Reliably matching feature points is an important part of many computer vision applications. This task is made harder when matching scenes containing repetitive patterns. The description of many feature points may be identical causing ambiguity in the matching results. This paper presents a filtering algorithm to remove erroneous matches caused by repetitive patterns. The proposed algorithm geometrically segments feature point locations into localized groups which are checked for consistency using correlation. A hierarchical approach is taken whereby neighboring groups are checked for consistency and collapsed into stronger ones. Finally a global model is calculated and used to ensure all cliques satisfy the scene geometry. The proposed method is generic and does not rely on specific feature detection algorithm. Experimental results demonstrate that the proposed method is superior to current state-of-the-art algorithms in accuracy and efficiency. The accuracy of matching repetitive patterns obtained from the proposed method is up to 99% compared to 96% obtained by previous state-of-the-art matching algorithms. The root mean squared residual matching error has been improved to 1.11 pixels compared to 4.09 obtained from current state-of-the-art image matching algorithms. The execution time of the method is competitive with most state-of-the-art image matching algorithms.
Sponsorship	IEEE Commun. Soc.
Starting Page	1
Ending Page	6
File Size	3457986
Page Count	6
File Format	PDF
ISBN	9781479913190
DOI	10.1109/ICSPCS.2013.6723903
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Correlation Accuracy Transmission line matrix methods repetitive patterns Image matching correspondence matching image registration Feature extraction image matching
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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