DocumentCode :
535143
Title :
Affine-invariant SIFT descriptor with global context
Author :
Cao, Bei ; Ma, Caiwen ; Liu, ZhenTao
Author_Institution :
Xi´´an Inst. of Opt. & Precision Mech., CAS, Xi´´an, China
Volume :
1
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
68
Lastpage :
71
Abstract :
The paper proposed a new image matching method combining affine-invariant SIFT feature descriptor with global context. Affine-SIFT (ASIFT) can find large numbers of correct matches even with great variation of camera axis orientation, however when there are several similar regions or objects between the query and search images, it may also produce many mismatches. Therefore, we intend to introduce global context to resolve ambiguities that can occur locally when an image has multiple similar regions. A global context vector that adds curvilinear shape information from a much larger neighborhood, thus reducing mismatches when multiple local descriptors are similar. We have tested our method on various images and compare matching accuracy between the ASIFT descriptor with global context to that without.
Keywords :
image matching; query processing; transforms; affine-invariant SIFT descriptor; feature descriptor; global context; image matching; query images; search images; Accuracy; Cameras; Computer vision; Context; Distortion measurement; Optical distortion; Shape; affine invariance; global context; image matching; local ambiguity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647071
Filename :
5647071
Link To Document :
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