DocumentCode
2837420
Title
LSIFT—An improved SIFT algorithm with a new matching method
Author
Lingjun Li ; Xiang Long
Author_Institution
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
Volume
4
fYear
2010
fDate
22-24 Oct. 2010
Abstract
In terms of the high frequency of mis-match of SIFT method under the strong disturb and complex background, this paper proposes a new matching method based on comparing modulus. According to this method, the eigenvector limit is required at first before the normalization processing, and then, accurate matching pairs between two pictures can be found according to the difference between the modulus of the relative matching pair and that of the most similar one. The result of simulation indicates that the new matching method is of high stability and its matching time is much shorter.
Keywords
eigenvalues and eigenfunctions; feature extraction; image matching; transforms; LSIFT algorithm; comparing modulus; eigenvector; image matching; normalization processing; Robustness; SIFT Algorithm; Scale space; comparing modulus; feature vector; key-points matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620607
Filename
5620607
Link To Document