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
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;
Conference_Titel :
Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7969-6
DOI :
10.1109/PACCS.2010.5626923
