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JOURNALS // Computer Optics // Archive

Computer Optics, 2016 Volume 40, Issue 1, Pages 99–111 (Mi co121)

This article is cited in 6 papers

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.

Received: 01.02.2016
Revised: 16.02.2016

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



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