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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
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
Citation:
I. A. Kalinovskii, V. G. Spitsyn, “Review and testing of frontal face detectors”, Computer Optics, 40:1 (2016), 99–111
Linking options:
https://www.mathnet.ru/eng/co121 https://www.mathnet.ru/eng/co/v40/i1/p99
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Abstract page: | 293 | Full-text PDF : | 155 | References: | 50 |
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