Review and testing of frontal face detectors

Ilya Andreevich Kalinovskii, Vladimir Grigorievich Spitsyn

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)99-111
Number of pages13
JournalComputer Optics
Volume40
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016

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Face recognition
Detectors
detectors
Testing
cascades
Neural networks

Keywords

  • Cascade classifiers
  • Convolutional neural networks
  • Deep learning
  • Face detection

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Review and testing of frontal face detectors. / Kalinovskii, Ilya Andreevich; Spitsyn, Vladimir Grigorievich.

In: Computer Optics, Vol. 40, No. 1, 01.01.2016, p. 99-111.

Research output: Contribution to journalArticle

Kalinovskii, Ilya Andreevich ; Spitsyn, Vladimir Grigorievich. / Review and testing of frontal face detectors. In: Computer Optics. 2016 ; Vol. 40, No. 1. pp. 99-111.
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