RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2017, Volume 41, Issue 1, Pages 59–66 (Mi co358)  

IMAGE PROCESSING, PATTERN RECOGNITION

Clustering face images

V. B. Nemirovskiy, A. K. Stoyanov

Institute of Cybernetics of Tomsk Polytechnic University, Tomsk, Russia

Abstract: In this paper a multi-step algorithm for clustering face images is proposed. This algorithm is designed to split a collection of images into groups of similar images. The algorithm is based on clustering the proximity measures between brightness-based segmented images. As proximity measures, the Euclidean distance and the Kullback-Leibler distance were used. Brightness-based image segmentation and clustering respective proximity measures were carried out with the help of a software model of a recurrent neural network. Results of experimental studies of the proposed approach are presented.

Keywords: image clustering, one-dimensional mapping, neuron, near-duplicate.

Funding Agency
The work is performed as part of the state task “Science”.


DOI: https://doi.org/10.18287/2412-6179-2017-41-1-59-66

Full text: PDF file (664 kB)
Full text: http://www.computeroptics.smr.ru/.../410107.html
References: PDF file   HTML file

Received: 14.07.2016
Accepted:08.01.2017

Citation: V. B. Nemirovskiy, A. K. Stoyanov, “Clustering face images”, Computer Optics, 41:1 (2017), 59–66

Citation in format AMSBIB
\Bibitem{NemSto17}
\by V.~B.~Nemirovskiy, A.~K.~Stoyanov
\paper Clustering face images
\jour Computer Optics
\yr 2017
\vol 41
\issue 1
\pages 59--66
\mathnet{http://mi.mathnet.ru/co358}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-1-59-66}


Linking options:
  • http://mi.mathnet.ru/eng/co358
  • http://mi.mathnet.ru/eng/co/v41/i1/p59

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles
  • Computer Optics
    Number of views:
    This page:152
    Full text:62
    References:13

     
    Contact us:
     Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2020