Review and testing of frontal face detectors

Ilya Andreevich Kalinovskii, Vladimir Grigorievich Spitsyn

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


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
Issue number1
Publication statusPublished - 1 Jan 2016


  • 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

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