Facial Recognition Technologies Patent Landscape

Author:

Nikolaev A. S.ORCID,Maximova T. G.ORCID,Sakhno I. E.,Antipov A. A.,Murashova S. V.

Publisher

Springer International Publishing

Reference15 articles.

1. Abhijeet, B., Hamna, A., Jeongbae, K.: Learning to resolve uncertainties for large-scale face recognition. Pattern Recogn. Lett. 160, 58–65 (August 2022). https://doi.org/10.1016/j.patrec.2022.06.004(2022)

2. Antipov, A.A., Maximova, T.G., Nikolaev, A.S., Agapova, A.V., Murashova, S.V.: Philosophical foundations of the digital culture//proceedings of the 31st international business information management association conference (IBIMA). Innov. Manage. Educ. Excellence Vis. 2020(2018), 6668–66673 (2018)

3. Facial Recognition Market. Markets and Markets. https://www.marketsandmarkets.com/PressReleases/facial-recognition.asp (2020)

4. Face recognition machine. https://www.telpo.com.ru/face-recognition-machine/Telpo. Last accessed 12 July 2022

5. Fabry, B., Ernst, H., Langholz, J., Koster, M.: Patent portfolio analysis as a useful tool for identifying R&D and business opportunities—an empirical application in the nutrition and health industry. WPI 28(3), 215–225 (2006)

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