Дата публикации статьи в журнале: 25.12,2019
Название журнала: Американский Научный Журнал, Выпуск: № (32) / 2019, Том: 2, Страницы в выпуске: 21-25
Автор: Nur-Sultan, Eurasian National University named after L.N. Gumilyov,
Автор: Kabdulkarimov Y.Z
Nur-Sultan, Eurasian National University named after L.N. Gumilyov,
Анотация: Abstract. This article describes a developed application for identifying individuals in the Java programming
language. For recognition of image templates, the OpenCV library was selected. Based on the methods that the
OpenCV library classes offer, a program with a graphical user interface for detecting faces has been developed.
DOI:
Данные для цитирования: Boranbayev S.N Kabdulkarimov Y.Z . DEVELOPING AN APPLICATION FOR FACIAL IDENTIFICATION IN THE JAVA PROGRAMMING LANGUAGE. Американский Научный Журнал. Технические науки. 25.12,2019; № (32) / 2019(2):21-25.
View Fullscreen
Список литературы: References
1. talk at Creative Think seminar, 20 July 1982,
URL:
https://www.folklore.org/StoryView.py?project=
Macintosh&story=Creative_Think.txt
2. Arandjelovic, R., Gronat, P., Torii, A., Pajdla,
T., Sivic, J.: NetVLAD: CNN architecture for weеkly
supervised place recognition. In: CVPR (2016) 12
3. Avrithis, Y., Kalantidis, Y., Tolias, G.,
Spyrou, E.: Retrieving Landmark and Non-Landmark
Images from Community Photo Collections. In: ACM
Multimedia. pp. 153–162 (2010)
4. Azizpour, H., Razavian, A.S., Sullivan, J.,
Maki, A., Carlsson, S.: From Generic to Specific Deep
Representations for Visual Recognition. In: CVPR
DeepVision Workshop (2015) 12
5. Baatz, G., Koeser, K., Chen, D., Grzeszczuk,
R., Pollefeys, M.: Handling urban location recognition
as a 2D homothetic problem. In: ECCV (2010)
6. Babenko, A., Lempitsky, V.: Aggregating
Local Deep Features for Image Retrieval. In: ICCV
(2015)
7. Savitch, W.: Absolute Java. Pearson (2016)
8. Babenko, A., Slesarev, A., Chigorin, A.,
Lempitsky, V.: Neural codes for image retrieval. In:
ECCV (2014)
9. Bergamo, A., Sinha, S.N., Torresani, L.:
Leveraging Structure from Motion to Learn
Discriminative Codebooks for Scalable Landmark
Classification. In: CVPR. pp. 763–770 (2013)
10. 1. Fundamentals of Computer Vision,
Mubarak Shah, Computer Science Department,
University of Central Florida, Orlando, FL 32816,
December 7, 2010.
11. The OpenCV 2.4.3 documentation, URL:
http://docs.opencv.org
12. Mastering OpenCV with Practical Computer
Vision Projects, Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street, Birmingham B3 2PB,
UK. ISBN 978-1-84951-782-9.
13. Boranbayev, A., Boranbayev, S., Nurusheva,
A. Analyzing methods of recognition, classification
and development of a software system. Advances in
Intelligent Systems and Computing. –2018, Vol. 869,
pp. 690-702.
14. Boranbayev, A., Shuitenov, G., Boranbayev,
S. The method of data analysis from social networks
using apache Hadoop. Advances in Intelligent Systems
and Computing. –2018, Vol. 558, pp. 281-288.
15. Boranbayev, S., Nurkas, A., Tulebayev, Y.,
Tashtai, B. Method of Processing Big Data. Advances
in Intelligent Systems and Computing. –2018, Vol.
738, pp. 757-758.
16. Boranbayev A.S., Boranbayev S.N.,
Khassanova А.А. Comparative analysis of methods of
face detection and classification of images // Bulletin of
L.N. Gumilyov Eurasian National University №2,
2017. - P.71-89.
информационное письмо
