DocumentCode
533570
Title
Study on improved scale Invariant Feature Transform matching algorithm
Author
Yang, Youliang ; Liu, Weili ; Zhang, Lan
Author_Institution
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
Volume
1
fYear
2010
fDate
1-2 Aug. 2010
Firstpage
398
Lastpage
401
Abstract
False matching feature points are caused by Scale Invariant Feature Transform (SIFT) which just considers the local feature information. In order to improve the precision of matching feature points, this paper proposes a method that combines the SIFT matching, epipolar restrict and regional matching. It is used to eliminate the superfluous error matching points to improve matching accuracy.
Keywords
image matching; stereo image processing; transforms; SIFT matching; epipolar restrict matching; improved scale invariant feature transform matching algorithm; matching feature point precision; regional matching; stereo matching; Image reconstruction; Pixel; SIFT matching; epipolar constraint; regional matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7969-6
Type
conf
DOI
10.1109/PACCS.2010.5626923
Filename
5626923
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