Open AccessPortrait matching based on sift features
Author(s) -
Xingxing Li,
Jun Luo,
Chao Duan,
Panpan Yin,
Zhi Yan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/612/3/032162
Subject(s) - scale invariant feature transform , matching (statistics) , artificial intelligence , image (mathematics) , pattern recognition (psychology) , computer vision , point (geometry) , computer science , window (computing) , point set registration , image matching , mathematics , statistics , geometry , operating system
Image matching refers to identifying homonymous points between two or more images by a certain matching algorithm. For example, in two-dimensional image matching, by comparing the correlation coefficients of the windows of the same size in the target image and the search image, the central point of the window corresponding to the maximum correlation coefficient in the search area is taken as the key point. In this paper, SIFT operator is used for image matching. The experimental results show that the method can effectively match the target.