Models and Methods for Matching Images in the Problem of Face Recognition

A subject area is analyzed and the topicality of the problem of face recognition is shown. Methods for matching images by applying position lines, convolutions and invariants to the group of affine transformation for 2D and 3D images are examined. Proper comparison is a necessary condition for solving the recognition problem. Proper use of the position-line method for reducing face images to the normalized form is shown. © 2018, Allerton Press, Inc.

Authors
Thanh N.D. 1 , Khachumov V.M. 1
Journal
Scientific and Technical Information Processing
Number of issue
5
Language
English
Pages
360-367
Status
Published
Link
External link
DOI
10.3103/S0147688218050088
Volume
45
Year
2018
Organizations
  • 1 People’s Friendship University of Russia (RUDN), Moscow, 117198, Russian Federation
Keywords
Problem solving; 3-D image; Affine transformations; Face images; Line methods; Face recognition
Date of creation
19.07.2019
Date of change
19.07.2019
Short link
https://repository.rudn.ru/en/records/article/record/38305/
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