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Wu, J., Cui, Z.M., Sheng, V.S., Zhao, P.P., Su, D.L. and Gong, S.R. (2013) A Comparative Study of SIFT and Its Variants. Measurement Science Review, 13, 122-131.
http://www.measurement.sk/2013/Jian.pdf

has been cited by the following article:

• TITLE: Intelligent System of M-Vision Based on Optimized SIFT

  AUTHORS: Sameh Ben Hamida, Ridha Azizi, Alia Maaloul

  KEYWORDS: Android, Image Recognition, Open CV, SIFT

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.4, April 7, 2016

  ABSTRACT: This paper proposes the recognition of bank notes through a mobile intelligent vision system under Android and this, based on anapproach of artificial vision of images using the SIFT algorithm under OPENCV whose principle is to detect the remarkable points of this image and compare it with the image saved in the local database on a handheld device. Finally, the system informs the user of the result by a sound indicating the value of the currency detected. The SIFT algorithm proposed can achieve a higher percentage of identification in a reduced time compared to results achieved by classic SIFT.