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Artificial Intelligence and Decision Making, 2016, Issue 4, Pages 5–14 (Mi iipr299)  
Data mining

Models and methods for matching images in the problem of face recognition

Nguyen Duy Thanha, V. M. Khachumovb

a Peoples' Friendship University of Russia, Moscow
b Institute for Systems Analysis of Russian Academy of Sciences
Full-text PDF (545 kB)
Abstract: In the article the analysis of the subject area is given and the relevance of the problem of face recognition is proved. Image matching methods with the use of position lines, convolution and invariants under the group of affine transformations for 2D and 3D images are considered. Correct comparison is a necessary stage of the recognition problem solution. Examples of position lines method application for normalizing face images.
Keywords: graphic image, invariant moments, affine transformation, image comparison, recognition.
English version:
Scientific and Technical Information Processing, 2018, Volume 45, Issue 5, Pages 360–367
DOI: https://doi.org/10.3103/S0147688218050088
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Nguyen Duy Thanh, V. M. Khachumov, “Models and methods for matching images in the problem of face recognition”, Artificial Intelligence and Decision Making, 2016, no. 4, 5–14; Scientific and Technical Information Processing, 45:5 (2018), 360–367
Citation in format AMSBIB
\Bibitem{NguKha16}
\by Nguyen~Duy~Thanh, V.~M.~Khachumov
\paper Models and methods for matching images in the problem of face recognition
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 4
\pages 5--14
\mathnet{http://mi.mathnet.ru/iipr299}
\elib{https://elibrary.ru/item.asp?id=27723582}
\transl
\jour Scientific and Technical Information Processing
\yr 2018
\vol 45
\issue 5
\pages 360--367
\crossref{https://doi.org/10.3103/S0147688218050088}
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