OPT OpenIR  > 空间光学应用研究室
Image matching algorithm with color information based on SIFT
Yu, Xiaoyong1,2; Lei, Hao1,3; Du, Yunfei1,2; Li, Baopeng1; Yuan, Xiaobin1; Gao, Wei1; Song, Zongxi1; Zheng, Peiyun1
2018
Conference Name10th International Conference on Digital Image Processing, ICDIP 2018
Source PublicationTenth International Conference on Digital Image Processing, ICDIP 2018
Volume10806
Conference Date2018-05-11
Conference PlaceShanghai, China
PublisherSPIE
Contribution Rank1
Abstract

Image matching is an important topic in the field of computer vision, in view of high robustness and accuracy, SIFT or the improved methods based on SIFT is generally used for image matching algorithms. The traditional SIFT method is implemented on grayscale images without regard to the color information of images, which may cause decreasing of the matching points and reduction of the matching accuracy. Prevailing color descriptors can effectively add color information into SIFT, however dramatically increase the complexity of algorithm. In this paper, a novel approach is proposed to take advantage of the color information for image matching based on SIFT. The proposed algorithm uses the gradient information of color channel as the compensation of luminance channel, which can effectively enhance the color information with SIFT. Experimental results show that the number of feature points and matching accuracy can be significantly promoted, while the complexity and performance of image matching algorithm are well trade-off. © 2018 SPIE.

KeywordImage Matching Sift Color Compensation
Department空间光学应用研究室
DOI10.1117/12.2502820
Indexed ByEI ; CPCI
ISBN9781510621992
Language英语
ISSN0277786X;1996756X
WOS IDWOS:000452819600085
EI Accession Number20183605779155
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30600
Collection空间光学应用研究室
Corresponding AuthorDu, Yunfei
Affiliation1.Space Optics Lab, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an; 710019, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China;
3.Key Laboratory of Electronics and Information Technology for Space Systems, Chinese Academy of Science, Beijing; 100190, China
Recommended Citation
GB/T 7714
Yu, Xiaoyong,Lei, Hao,Du, Yunfei,et al. Image matching algorithm with color information based on SIFT[C]:SPIE,2018.
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