Rotation invariant feature lines transform for image matching

	Rotation invariant feature lines transform for image matching
	Zhang Y.; Qu H. S.
	2014
发表期刊	Journal of Electronic Imaging
ISSN	ISBN/1017-9909
卷号	23 期号:5 页码:10
摘要	Image matching has been one of the most fundamental issues in computer vision over the decades. We propose a method based on utilizing feature lines in order to achieve more robust image matching, which includes feature line detection, feature vector description and matching, and the devised rotation invariant feature line transform. The feature vectors have the properties of rotation and scaling invariance. Experimental results demonstrate the effectiveness and efficiency of the proposed method. Compared with the famous powerful algorithm scale invariant feature transform, the proposed method is more insensitive to noise, and the selected distinctive locations of features are more disperse. For a certain sequence of images, which contain strong lines, the proposed method is more efficient. Using the feature lines obtained by our method, it is possible to match two scene images with different rotation angles, scales, and light distortion, and the steps of matching are simpler. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/44357
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhang Y.,Qu H. S.. Rotation invariant feature lines transform for image matching[J]. Journal of Electronic Imaging,2014,23(5):10.
APA	Zhang Y.,&Qu H. S..(2014).Rotation invariant feature lines transform for image matching.Journal of Electronic Imaging,23(5),10.
MLA	Zhang Y.,et al."Rotation invariant feature lines transform for image matching".Journal of Electronic Imaging 23.5(2014):10.

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