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 1, Pages 99–111 (Mi co121)  

IMAGE PROCESSING, PATTERN RECOGNITION

Review and testing of frontal face detectors

I. A. Kalinovskii, V. G. Spitsyn

Tomsk Polytechnic University

Abstract: This paper presents comparison results for the proposed face detection algorithm based on a compact convolutional neural network cascade and modern frontal face detectors. Test results for 16 frontal view face detectors on two public benchmarks datasets are shown. A comparative assessment of the performance of face detection algorithms is made.

Keywords: face detection, cascade classifiers, convolutional neural networks, deep learning.

DOI: https://doi.org/10.18287/2412-6179-2016-40-1-99-111

Full text: PDF file (953 kB)
Full text: http://www.computeroptics.smr.ru/.../400114.html
References: PDF file   HTML file

Received: 01.02.2016
Revised: 16.02.2016

Citation: I. A. Kalinovskii, V. G. Spitsyn, “Review and testing of frontal face detectors”, Computer Optics, 40:1 (2016), 99–111

Citation in format AMSBIB
\Bibitem{KalSpi16}
\by I.~A.~Kalinovskii, V.~G.~Spitsyn
\paper Review and testing of frontal face detectors
\jour Computer Optics
\yr 2016
\vol 40
\issue 1
\pages 99--111
\mathnet{http://mi.mathnet.ru/co121}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-1-99-111}


Linking options:
  • http://mi.mathnet.ru/eng/co121
  • http://mi.mathnet.ru/eng/co/v40/i1/p99

    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:208
    Full text:89
    References:43

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