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, 2016, Volume 40, Issue 5, Pages 729–739 (Mi co294)  

IMAGE PROCESSING, PATTERN RECOGNITION

Face photo retrieval based on sketches

G. Kukhareva, N. L. Shchegolevab

a West Pomeranian University of Technology, Szczecin, Poland
b Saint Petersburg Electrotechnical University "LETI", St. Petersburg, Russia

Abstract: The paper deals with the problem of the automatic retrieval of face photos using sketch drawings based on the witness description. We propose new methods for the generation of a sketch population from the initial one to improve the performance of sketch-based photo image retrieval systems. The method based on the computation of an average sketch from the generated population has been applied to increase the index of similarity in sketch-photo pairs. It is shown that such sketches are more similar to the original photographic images and their use leads to good results. Results of the experiments on CUHK Face Sketch and CUHK Face Sketch FERET databases and open access databases of photo-sketches pairs are discussed.

Keywords: photo-sketch retrieval, population of sketches.

DOI: https://doi.org/10.18287/2412-6179-2016-40-5-729-739

Full text: PDF file (403 kB)
Full text: http://www.computeroptics.smr.ru/.../400516.html
References: PDF file   HTML file

Received: 16.05.2016
Accepted:27.09.2016
Language:

Citation: G. Kukharev, N. L. Shchegoleva, “Face photo retrieval based on sketches”, Computer Optics, 40:5 (2016), 729–739

Citation in format AMSBIB
\Bibitem{KukShc16}
\by G.~Kukharev, N.~L.~Shchegoleva
\paper Face photo retrieval based on sketches
\jour Computer Optics
\yr 2016
\vol 40
\issue 5
\pages 729--739
\mathnet{http://mi.mathnet.ru/co294}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-5-729-739}


Linking options:
  • http://mi.mathnet.ru/eng/co294
  • http://mi.mathnet.ru/eng/co/v40/i5/p729

    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:90
    Full text:33
    References:18

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