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Computer Optics, 2020, Volume 44, Issue 4, Pages 589–595
DOI: https://doi.org/10.18287/2412-6179-CO-674
(Mi co825)
 

This article is cited in 8 scientific papers (total in 8 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Single-shot face and landmarks detector

Yu. V. Viziltera, V. S. Gorbatcevicha, A. S. Moiseenkoba

a State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
b Moscow Institute of Physics and Technology (MIPT), Moscow, Russia
References:
Abstract: Facial landmark detection is an important sub-task in solving a number of biometric facial recognition tasks. In face recognition systems, the construction of a biometric template occurs according to a previously aligned (normalized) face image and the normalization stage includes the task of finding facial keypoints. A balance between quality and speed of the facial keypoints detector is important in such a problem. This article proposes a CNN-based one-stage detector of faces and keypoints operating in real time and achieving high quality on a number of well-known test datasets (such as AFLW2000, COFW, Menpo2D). The proposed face and facial landmarks detector is based on the idea of a one-stage SSD object detector, which has established itself as an algorithm that provides high speed and high quality in object detection task. As a basic CNN architecture, we used the ShuffleNet V2 network. An important feature of the proposed algorithm is that the face and facial keypoint detection is done in one CNN forward pass, which can significantly save time at the implementation stage. Also, such multitasking allows one to reduce the percentage of errors in the facial keypoints detection task, which positively affects the final face recognition algorithm quality.
Keywords: biometry, face detection, CNN, landmarks detection, SSD.
Funding agency Grant number
Russian Foundation for Basic Research 19-07-01146 А
This work was financially supported by the Russian Foundation for Basic Research (Project 19-07-01146 А).
Received: 09.12.2019
Accepted: 30.04.2020
Document Type: Article
Language: Russian
Citation: Yu. V. Vizilter, V. S. Gorbatcevich, A. S. Moiseenko, “Single-shot face and landmarks detector”, Computer Optics, 44:4 (2020), 589–595
Citation in format AMSBIB
\Bibitem{VizGorMoi20}
\by Yu.~V.~Vizilter, V.~S.~Gorbatcevich, A.~S.~Moiseenko
\paper Single-shot face and landmarks detector
\jour Computer Optics
\yr 2020
\vol 44
\issue 4
\pages 589--595
\mathnet{http://mi.mathnet.ru/co825}
\crossref{https://doi.org/10.18287/2412-6179-CO-674}
Linking options:
  • https://www.mathnet.ru/eng/co825
  • https://www.mathnet.ru/eng/co/v44/i4/p589
  • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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