Review and testing of frontal face detectors

Ilya Andreevich Kalinovskii, Vladimir Grigorievich Spitsyn

Division for Information Technology

Research output: Contribution to journal › Article

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 language	English
Pages (from-to)	99-111
Number of pages	13
Journal	Computer Optics
Volume	40
Issue number	1
DOIs	https://doi.org/10.18287/2412-6179-2016-40-1-99-111
Publication status	Published - 1 Jan 2016

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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

Kalinovskii, I. A., & Spitsyn, V. G. (2016). Review and testing of frontal face detectors. Computer Optics, 40(1), 99-111. https://doi.org/10.18287/2412-6179-2016-40-1-99-111

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Access to Document

10.18287/2412-6179-2016-40-1-99-111