Real time image registration based on dictionary feature descriptor

	Real time image registration based on dictionary feature descriptor
	Wang J.-B.; Zhu M.
	2014
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	ISBN/1004924X
卷号	22 期号:6 页码:1613-1621
摘要	As traditional description vector calculation method used in image registration is too complex, time consuming and taking up more memory, a novel dictionary based local feature description algorithm was proposed. The K-singular Value Decomposition( KSVD ) method was used to generate dictionary and the feature descriptor was obtained by comparing the similarity between feature point region in images and elements in the dictionary. By above, the description vector generation algorithm was simplified and a higher feature matching speed was obtained. The matching process could be carried out by using randomized KD(k-dimension)tree algorithm. Then, the Random Sample Consensus (RANSAC) was used to choose the correct matching pairs. Finally, the transform parameters were estimated by using the least square method and the space geometric transformation of two images to be registrated was obtained. Results from experiments show that the proposed method reduces the description vector storage space, speeds up the feature matching and implements the registration process in real time.
收录类别	EI
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/44309
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang J.-B.,Zhu M.. Real time image registration based on dictionary feature descriptor[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2014,22(6):1613-1621.
APA	Wang J.-B.,&Zhu M..(2014).Real time image registration based on dictionary feature descriptor.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,22(6),1613-1621.
MLA	Wang J.-B.,et al."Real time image registration based on dictionary feature descriptor".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 22.6(2014):1613-1621.

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基于字典描述向量的实时图像配准.pdf（1961KB）			开放获取	CC BY-ND	浏览下载