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Computer Optics, 2016, Volume 40, Issue 1, Pages 99–111
DOI: https://doi.org/10.18287/2412-6179-2016-40-1-99-111 (Mi co121) 		 
This article is cited in 6 scientific papers (total in 6 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Review and testing of frontal face detectors

I. A. Kalinovskii, V. G. Spitsyn

Tomsk Polytechnic University
Full-text PDF (953 kB) Citations (6)
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DOI: https://doi.org/10.18287/2412-6179-2016-40-1-99-111
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.
Received: 01.02.2016
Revised: 16.02.2016
Document Type: Article
Language: Russian
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}
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    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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