Live Face Test Method for Deciding Whether a Face is Live or not by using Depth Information on a Face

Author:

Gu BongenORCID

Funder

Chungbuk Bio-Health Industry Innovation Center

Korea National University of Transportation

Publisher

Korean Institute of Information Technology

Reference13 articles.

1. S. H. Lee, S. R. Cho, S. H. L Kim, and S. H. Jin, "Trends of Spoofing Detection in the field of Face Recognition", Weekly ICT Trends, Ministry of Science and ICT, No. 1870, pp. 17-26, Oct. 2018.

2. D. H. Kim, S. W. Choi, and S. Y. Kwak, "Deep Learning Based Fake Face Detection", Journal of KIISR, Vol. 23, No. 5, pp. 9-17, Oct. 2018. https://doi.org/10.9723/jksiis.2018.23.5.009.

3. T. Karras, T. Aila, A. Laine, and J. Lehtinen, "Progressive Growing Of Gans For Improved Quality, Stability, And Variations", Final ICLR 2018 version, http://arxiv.org/abs/1710.10196.

4. I. J. Goodfellow, J. Pouget-Adadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A.c. Courville, and Y. Bengio, "Generative Adversarial Nets", In Proc. of NIPS, pp. 2672-2680, 2014.

5. A. Greenberg, "Hackers say they’ve broken face id a week after iphone X release", CIRED, No. 2017.

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