DocumentCode :
1967794
Title :
Application of the extraction of the image feature points by improved SIFT algorithm
Author :
Ruian Liu ; Junsheng Zhang ; Lei Wang ; Baoju Zhang
Author_Institution :
Coll. of Phys. & Electron. Inf. Sci., Tianjin Normal Univ., Tianjin, China
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
946
Lastpage :
949
Abstract :
In the application of the image mosaic, SIFT algorithm mainly focused on feature information of the points. The geometric and statistical information in matched feature points are not concerned, so there are many mismatch feature points in it. Harris corner detection algorithm is a very effective image corner extraction algorithm. In this paper, Harris algorithm is used to obtain more accurate matched feature points. The method can extract more less steady, reliable, uniform and reasonable corner points, and improve the efficiency of image mosaic.
Keywords :
edge detection; feature extraction; Harris corner detection algorithm; SIFT algorithm; feature information; geometric information; image corner extraction algorithm; image feature points extraction; image mosaic; matched feature points; statistical information; Eigenvalues and eigenfunctions; Feature extraction; Image edge detection; Image matching; Remote sensing; Robustness; Transforms; Harris; Image feature points extraction; SIFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Workshops (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/ICCW.2013.6649371
Filename :
6649371
Link To Document :
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