NDLI: Novel Image Registration Method Based on Local Structure Constraints

Content Provider	IEEE Xplore Digital Library
Author	Aixia Li Xiaojun Cheng Haiyan Guan Tiantian Feng Zequn Guan
Copyright Year	2004
Abstract	This letter presents an effective approach to reduce the ambiguity of matching results for image registration based on a coarse-to-fine strategy. In the coarse registration stage, we compute initial transformation parameters via the descriptors. In the fine registration stage, we propose a new matching strategy for an iterative closest point framework, in which the matching pairs are determined by a bidirectional matching criterion in terms of feature similarity and spatial consistency. In this letter, the spatial consistency includes not only spatial distance but also local structure constraints on reference and sensed images. Comparative experiments on multispectral and viewpoint-altered images show that the proposed algorithm achieves higher performance in accuracy and robustness.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	1584
Ending Page	1588
Page Count	5
File Size	1007756
File Format	PDF
ISSN	1545598X
Volume Number	11
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration Accuracy Iterative closest point algorithm Remote sensing Robustness Educational institutions spatial consistency Feature similarity image registration local structure constraint
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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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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