Title :
An improved SIFT matching algorithm based on geometric similarity
Author :
Jinke Li;Geng Wang
Author_Institution :
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
fDate :
5/1/2015 12:00:00 AM
Abstract :
SIFT(Scale Invariant Feature Transform) algorithm is a widely used method in image matching for its good invariance to image translation, rotation and illumination changes. However, due to local similarity of some images, when matching the SIFT feature points, some false matches occur. In this paper, an improved SIFT matching algorithm based on geometric similarity is proposed. For correct matches, there exists a constant similarity ratio. So based on it, we can eliminate false matching points which do not meet this condition. Experiments showed that the improved matching algorithm could eliminate mismatches effectively and make the feature points matching more accurate.
Keywords :
"Image matching","Lighting","Feature extraction","Distortion","Computer vision","Histograms","Algorithm design and analysis"
Conference_Titel :
Electronics Information and Emergency Communication (ICEIEC), 2015 5th International Conference on
Print_ISBN :
978-1-4799-7283-8
DOI :
10.1109/ICEIEC.2015.7284477
