DocumentCode :
2871805
Title :
Matching day and night location images using SIFT and logistic regression
Author :
Tekin, Nazli ; Peker, Kadir A.
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Meliksah Univ., Kayseri, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
1615
Lastpage :
1618
Abstract :
SIFT is use for matching images of location and objects or recognizing objects on an image. the method can handle light varying conditions at some points. However the degree of success decreases when we try to match images of locations taken at day to until night time period. Especially matching between day time image and night time image is not successful. We examined how to performance of SIFT method diminish with the change of daylight The other method classification used in matching problem is also examined and compared with SIFT.
Keywords :
image matching; image retrieval; transforms; SIFT; image matching; image recognition; location images; logistic regression; Computer vision; Image matching; Image recognition; Logistics; Robot sensing systems; Transforms; SIFT; day and night image matching; image matching; image retrieval; local descriptors; logistic regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130159
Filename :
7130159
Link To Document :
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