DocumentCode :
2814214
Title :
Image matching with SIFT descriptor on affine normalized MSERs
Author :
Samir, B.V.R. ; Il, Na Sang ; Kalia, Robin
Author_Institution :
Contents Protection & Manage. Team, Electron. & Telecommun. Res. Inst. (ETRI), Daejeon, South Korea
fYear :
2011
fDate :
9-11 Feb. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we devise a method for introducing affine invariance into the SIFT algorithm considering the addition of affine invariance property to the efficient SIFT algorithm for image matching. An intermediate step of detecting MSER in Comparison of matching performance was performed with reference to original SIFT algorithm. Other deciding factors such as execution time, number of detected interest points, resolution of the original and target images were also provided for comprehensive comparison. Conclusions are drawn based on the observed results and possible factors are considered for any improvement.
Keywords :
content-based retrieval; image matching; SIFT descriptor; affine normalized MSER; content based image retrieval; image matching; Algorithm design and analysis; Computer vision; Detectors; Feature extraction; Image edge detection; Image matching; Pixel; Affine Invariance; Affine Normalization; Image Matching; MSER; SIFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
Conference_Location :
Ulsan
Print_ISBN :
978-1-61284-677-4
Electronic_ISBN :
978-1-61284-676-7
Type :
conf
DOI :
10.1109/FCV.2011.5739761
Filename :
5739761
Link To Document :
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