References
X. Tan, Y. Li, J. Liu, L. Jiang, Face liveness detection from a single image with sparse low rank bilinear discriminative model, in Proceedings of the European Conference on Computer Vision (ECCV), LNCS, vol. 6316, Heraklion, Crete, Greece, (Springer, 2010), pp. 504–517
J. Li, Y. Wang, T. Tan, A.K. Jain, Live face detection based on the analysis of fourier spectra, in Biometric Technology for Human Identification, Orlando, Florida, USA, 2004, pp. 296–303
J. Bai, T. Ng, X. Gao, Y. Shi, Is physics-based liveness detection truly possible with a single image? in International Symposium on Circuits and Systems, Paris, France, (IEEE, 2010), pp. 3425–3428
A. Anjos, S. Marcel, Counter-measures to photo attacks in face recognition: a public database and a baseline, in Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington, DC, 2011
A. Anjos, M.M. Chakka and S. Marcel, Motion-based counter-measures to photo attacks in face recognition IET Biometrics, 3(3), 147–158 (2014)
M.M. Chakka, A. Anjos, S. Marcel, R. Tronci, B. Muntoni, G. Fadda, M. Pili, N. Sirena, G. Murgia, M. Ristri, F. Roli, J. Yan, D. Yi, Z. Lei, Z. Zhang, S.Z. Li, W.R. Schwartz, A. Rocha, H. Pedrini, J. Lorenzo-Navarro, M. Castrillon-Santana, J. Maatta, A. Hadid, M. Pietikainen, Competition on countermeasures to 2-D facial spoofing attacks, in International Joint Conference on Biometrics (IJCB), Washington, DC., USA, 2011
I. Chingovska, A. Anjos, S. Marcel, On the effectiveness of local binary patterns in face anti-spoofing, in IEEE BIOSIG’12, Darmstadt, Germany, Sept 2012
I. Chingovska, J. Yang, Z. Lei, D. Yi, S.Z. Li, O. Kähm, C. Glaser, N. Damer, A. Kuijper, A. Nouak, J. Komulainen, T. Pereira, S. Gupta, S. Khandelwal, S. Bansal, A. Rai, T. Krishna, D. Goyal, M.-A. Waris, H. Zhang, I. Ahmad, S. Kiranyaz, M. Gabbouj, R. Tronci, M. Pili, N. Sirena, F. Roli, J. Galbally, J. Fierrez, A. Pinto, H. Pedrini, W.S. Schwartz, A. Rocha, A. Anjos, S. Marcel1, The 2nd competition on counter measures to 2D face spoofing attacks, in IAPR International Conference on Biometrics, ICB, Madrid, Spain, June 2013
Z. Zhiwei, J. Yan, S. Liu, Z. Lei, D. Yi, S.Z. Li, A face antispoofing database with diverse attacks, in Proceedings of IAPR International Conference on Biometrics (ICB), Beijing, China, 2012, pp. 26–31
N. Erdogmus, S. Marcel, Spoofing in 2D face recognition with 3D masks and anti-spoofing with kinect, in Biometrics: Theory, Applications and Systems Conference (BTAS’13), Washington, DC., USA, Sept 2013
J. Määttä, A. Hadid, M. Pietikäinen, Face spoofing detection from single images using micro-texture analysis, in Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, 2011
J. Määttä, A. Hadid, M. Pietikäinen, Face spoofing detection from single images using texture and local shape analysis. IET Biometrics 1(1), 3–10, (2012)
T. Ahonen, A. Hadid, M. Pietikäinen, Face recognition with local binary patterns, in European Conference on Computer Vision (ECCV), Czech republic, Prague, 2004, pp. 469–481
B. Froba, A. Ernst, Face detection with the modified census transform, in IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 2004, pp. 91–96
N. Kose, J.-L. Dugelay, Countermeasure for the protection of face recognition systems against mask attacks, in IEEE International Conference on Automatic Face and Gesture Recognition, Shanghai, China, Apr 2013
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Anjos, A., Chingovska, I., Marcel, S. (2014). Anti-spoofing: Face Databases. In: Li, S., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-3-642-27733-7_9067-2
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DOI: https://doi.org/10.1007/978-3-642-27733-7_9067-2
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