Image Feature Matching Based on SIFT Algorithm
2014 ◽
Vol 644-650
◽
pp. 4157-4161
Keyword(s):
In the process of image matching, it is involved such as image rotation, scale zooming, brightness change and other problems. In order to improve the precision of image matching, image matching algorithm based on SIFT feature point is proposed. First, the method of generating scale space is introduced. Then, the scale and position of feature points are determined through three dimension quadratic function and feature vectors are determined through gradient distribution characteristic of neighborhood pixels of feature points. Finally, feature matching is completed based on the Euclidean distance. The experiment result indicates that using SIFT feature point can achieve image matching effectively.
2011 ◽
Vol 121-126
◽
pp. 4656-4660
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Keyword(s):
2013 ◽
Vol 380-384
◽
pp. 3986-3989
Keyword(s):
2011 ◽
Vol 181-182
◽
pp. 37-42
2013 ◽
Vol 647
◽
pp. 896-900
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Keyword(s):
2021 ◽
Vol 5
(4)
◽
pp. 783-793
Keyword(s):
2012 ◽
Vol 236-237
◽
pp. 759-764
◽
Keyword(s):
2012 ◽
Vol 433-440
◽
pp. 5420-5424
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Keyword(s):
2014 ◽
Vol 543-547
◽
pp. 2670-2673
2018 ◽
Vol 32
(08)
◽
pp. 1855014
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